Position:
Head of institute
Lecturer
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 675
eMail:
Home page:
https://www.uiam.sk/~kvasnica/
Phone:
+421 259 325 352
Skype:
mkvasnica
ORCID iD:
0000-0001-8699-551X
WoS ResearcherID:
A-7022-2013
Google Scholar:
pE8c4hsAAAAJ
Research activities:
Model Predictive Control, Hybrid Systems, Process Control
Availability:

Citations

  • Total citations       1831

J. Theunissen – A. Sorniotti – P. Gruber – S. Fallah – M. Ricco – M. Kvasnica – M. Dhaens: Regionless Explicit Model Predictive Control of Active Suspension Systems With Preview. IEEE Transactions on Industrial Electronics, no. 6, vol. 67, pp. 4877–4888, 2020.
  • Number of citations       5
  • Ni, T. – Li, W. – Zhao, D. – Kong, Z.: Road profile estimation using a 3D sensor and intelligent vehicle. Sensors (Switzerland), no. 13, vol. 20, pp. 1-17, 2020.
  • Enders, E. – Burkhard, G. – Munzinger, N.: Analysis of the influence of suspension actuator limitations on ride comfort in passenger cars using model predictive control. Actuators, no. 3, vol. 9, 2020.
  • Nie, Z. – Li, Z. – Wang, W. – Zhao, W. – Lian, Y. – Outbib, R.: Gain-scheduling control of dynamic lateral lane change for automated and connected vehicles based on the multipoint preview. IET Intelligent Transport Systems, no. 10, vol. 14, pp. 1338-1349, 2020.
  • Dong, J.-F. – Han, S.-Y. – Zhou, J. – Chen, Y.-H. – Zhong, X.-F.: FNT-Based Road Profile Classification in Vehicle Semi-Active Suspension System. IEEE Transactions on Systems, Man, and Cybernetics: Systems, no. 9283481, vol. 2020-October, pp. 1392-1397, 2020.
  • Huang, S.-D. – Cao, G.-Z. – Xu, J. – Cui, Y. – Wu, C. – He, J.: Predictive Position Control of Long-Stroke Planar Motors for High-Precision Positioning Applications. IEEE Transactions on Industrial Electronics, no. 1, vol. 68, pp. 796-811, 2021.
M. KlaučoM. KalúzM. Kvasnica: Machine learning-based warm starting of active set methods in embedded model predictive control. Engineering Applications of Artificial Intelligence, vol. 77, pp. 1–8, 2019.
  • Number of citations       10
  • Masti, Daniele – Bemporad, Alberto: Learning binary warm starts for multiparametric mixed-integer quadratic programming. In 2019 18th European Control Conference (ECC), pp. 1494-1499, 2019.
  • Schwenkel, Lukas – Gharbi, Meriem – Trimpe, Sebastian – Ebenbauer, Christian: Online learning with stability guarantees: A memory-based warm starting for real-time MPC. Automatica, no. 109247, vol. 122, 2020.
  • Sabir, Zulqurnain – Raja, Muhammad Asif Zahoor – Guirao, Juan L. G. – Shoaib, Muhammad: Integrated intelligent computing with neuro-swarming solver for multi-singular fourth-order nonlinear Emden-Fowler equation. Computational & Applied Mathematics, no. 4, vol. 39, 2020.
  • Vaupel, Yannic – Hamacher, Nils C. – Caspari, Adrian – Mhamdi, Adel – Kevrekidis, Ioannis G. – Mitsos, Alexander: Accelerating nonlinear model predictive control through machine learning. Journal of Process Control, no. NM0HO, vol. 92, pp. 261-270, 2020.
  • Bertsimas, Dimitris – Stellato, Bartolomeo: The voice of optimization. Machine Learning, no. MM4AL, 2020.
  • Umar, Muhammad – Sabir, Zulqurnain – Amin, Fazli – Guirao, Juan L. G. – Raja, Muhammad Asif Zahoor: Stochastic numerical technique for solving HIV infection model of CD4(+) T cells. European Physical Journal Plus, no. 6, vol. 135, 2020.
  • Leal, Adonis F. R. – Rakov, V. A. – Alves, Elton Rafael – Lopes, Marcio N. G.: Estimation of -CG lightning distances using single-station E-field measurements and machine learning techniques. In 2019 International Symposium on Lightning Protection (xv Sipda), 2019.
  • Ihtesham Jadoon – Ashfaq Ahmed – Ata ur Rehman – Muhammad Shoaib – Muhammad Asif Zahoor Raja: Integrated meta-heuristics finite difference method for the dynamics of nonlinear unipolar electrohydrodynamic pump flow model. Applied Soft Computing, vol. 97, pp. 106791, 2020.
  • Umar, M. – Sabir, Z. – Raja, M.A.Z. – Sánchez, Y.G.: A stochastic numerical computing heuristic of SIR nonlinear model based on dengue fever. Results in Physics, no. 103585, vol. 19, 2020.
  • Li, Z. – Xu, H.: Analysis of Working Characteristics of Buck Converter in Artificial Intelligence Background. Advances in Intelligent Systems and Computing (Conference Paper), vol. 1088, pp. 529-537, 2020.
P. Bakaráč – J. Holaza – M. KlaučoM. Kalúz – J. Löfberg – M. Kvasnica: Explicit MPC based on Approximate Dynamic Programming. In European Control Conference 2018, Limassol, Cyprus, pp. 1172–1177, 2018.
  • Number of citations       2
  • Moennigmann, Martin: On the structure of the set of active sets in constrained linear quadratic regulation. Automatica, vol. 106, pp. 61-69, 2019.
  • Gulan, M. – Minarcik, P. – Kulhanek, J.: Energy-efficient Swing-up and MPC Stabilization of an Inverted Pendulum. In Proceedings of the 2019 22nd International Conference on Process Control, PC 2019, pp. 209-214, 2019.
J. Števek – M. KvasnicaM. Fikar – A. Gomola: A Parametric Programming Approach to Automated Integrated Circuit Design. IEEE Transactions on Control Systems Technology, no. 4, vol. 26, pp. 1180–1191, 2018.
  • Number of citations       1
  • Kouhalvandi, Lida – Ceylan, Osman – Ozoguz, Serdar: Optimization techniques for analog and RF circuit designs: an overview. Analog Integrated Circuits and Signal Processing, 2000.
J. Drgoňa – D. Picard – M. Kvasnica – L. Helsen: Approximate model predictive building control via machine learning. Applied Energy, vol. 218, pp. 199–216, 2018.
  • Number of citations       57
  • Schubnel, B. – Carrillo, R.E. – Taddeo, P. – Canal Casals, L. – Salom, J. – Stauffer, Y. – Alet, P.-J.: State-space models for building control: how deep should you go?. Journal of Building Performance Simulation, no. 6, vol. 13, pp. 707-719, 2020.
  • Hu, R.L. – Granderson, J. – Auslander, D.M. – Agogino, A.: Design of machine learning models with domain experts for automated sensor selection for energy fault detection. Applied Energy, pp. 117-128, 2019.
  • Benndorf, G.A. – Wystrcil, D. – Réhault, N.: Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control. Applied Physics Reviews, no. 4, vol. 5, 2018.
  • Serale, G. – Fiorentini, M. – Capozzoli, A. – Cooper, P. – Perino, M.: Formulation of a model predictive control algorithm to enhance the performance of a latent heat solar thermal system. Energy Conversion and Management, vol. 173, pp. 438-449, 2018.
  • Giaouris, D. – Papadopoulos, A.I. – Patsios, C. – Walker, S. – Ziogou, C. – Taylor, P. – Voutetakis, S. – Papadopoulou, S. – Seferlis, P.: A systems approach for management of microgrids considering multiple energy carriers, stochastic loads, forecasting and demand side response. Applied Energy, vol. 226, pp. 546-559, 2018.
  • Zafeiratou, I. – Nguyen, D.V.A. – Prodan, I. – Lefèvre, L. – Piétrac, L.: Flatness-based hierarchical control of a meshed DC microgrid. IFAC-PapersOnLine, no. 20, vol. 51, pp. 222-227, 2018.
  • Moriyasu, R. – Ueda, M. – Ikeda, T. – Nagaoka, M. – Jimbo, T. – Matsunaga, A. – Nakamura, T.: Real-time MPC Design Based on Machine Learning for a Diesel Engine Air Path System. IFAC-PapersOnLine, no. 31, vol. 51, pp. 542-548, 2018.
  • Krishnamoorthy, D. – Thombre, M. – Skogestad, S. – Jäschke, J.: Data-driven Scenario Selection for Multistage Robust Model Predictive Control. IFAC-PapersOnLine, no. 20, vol. 51, pp. 462-468, 2018.
  • Pippia, T. – Lago, J. – Coninck, R.D. – Sijs, J. – Schutter, B.D.: Scenario-based model predictive control approach for heating systems in an office building. In IEEE International Conference on Automation Science and Engineering, pp. 1243-1248, 2019.
  • Schwenkel, Lukas – Gharbi, Meriem – Trimpe, Sebastian – Ebenbauer, Christian: Online learning with stability guarantees: A memory-based real-time model predictive controller. arXiv preprint arXiv:1812.09582, 2018.
  • Krishnadas, Gautham: Data-driven modelling for demand response from large consumer energy assets. 2018.
  • Wani, M. – Hafiz, F. – Swain, A. – Ukil, A.: Estimating thermal parameters of a commercial building: A meta-heuristic approach. Energy and Buildings, no. 110537, vol. 231, 2021.
  • Dong, Z. – Huang, X. – Dong, Y. – Zhang, Z.: Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system. Applied Energy, no. 114193, vol. 259, 2020.
  • Zafeiratou, I. – Prodan, I. – Lefèvre, L. – Piétrac, L.: Meshed DC microgrid hierarchical control: A differential flatness approach. Electric Power Systems Research, no. 106133, vol. 180, 2020.
  • Cotrufo, N. – Saloux, E. – Hardy, J. M. – Candanedo, J. A. – Platon, R.: A practical artificial intelligence-based approach for predictive control in commercial and institutional buildings. Energy and Buildings, no. UNSP 109563, vol. 206, 2020.
  • Moriyasu, Ryuta – Nojiri, Sayaka – Matsunaga, Akio – Nakamura, Toshihiro – Jimbo, Tomohiko: Diesel engine air path control based on neural approximation of nonlinear MPC. Control Engineering Practice, no. UNSP 104114, vol. 91, 2019.
  • Alsalemi, Abdullah – Ramadan, Mona – Bensaali, Faycal – Amira, Abbes – Sardianos, Christos – Varlamis, Iraklis – Dimitrakopoulos, George: Endorsing domestic energy saving behavior using micro-moment classification. Applied Energy, vol. 250, pp. 1302-1311, 2019.
  • Lawrynczuk, Maciej – Oclon, Pawel: Model Predictive Control and energy optimisation in residential building with electric underfloor heating system. Energy, vol. 182, pp. 1028-1044, 2019.
  • Cao, Sheng – Hou, Shengya – Yu, Lijun – Lu, He: Predictive control based on occupant behavior prediction for domestic hot water system using data mining algorithm. Energy Science & Engineering, no. 4, vol. 7, pp. 1214-1232, 2019.
  • Wang, Jiangyu – Li, Shuai – Chen, Huanxin – Yuan, Yue – Huang, Yao: Data-driven model predictive control for building climate control: Three case studies on different buildings. Building and Environment, no. 106204, vol. 160, 2019.
  • Zeng, Aaron – Liu, Sheng – Yu, Yao: Comparative study of data driven methods in building electricity use prediction. Energy and Buildings, vol. 194, pp. 289-300, 2019.
  • Tabares-Velasco, Paulo Cesar – Speake, Andrew – Harris, Maxwell – Newman, Alexandra – Vincent, Tyrone – Lanahan, Michael: A modeling framework for optimization-based control of a residential building thermostat for time-of-use pricing. Applied Energy, vol. 242, pp. 1346-1357, 2019.
  • Bianchini, Gianni – Casini, Marco – Pepe, Daniele – Vicino, Antonio – Zanvettor, Giovanni Gino: An integrated model predictive control approach for optimal HVAC and energy storage operation in large-scale buildings. Applied Energy, vol. 240, pp. 327-340, 2019.
  • Zong, Yi – Su, Wenjing – Wang, Jiawei – Rodek, Jakub Krzysztof – Jiang, Chuhao – Christensen, Morten Herget – You, Shi – Zhou, You – Mu, Shujun: Predictive Control for Smart Buildings to Provide the Demand Side Flexibility in the Multi-Carrier Energy Context: Current Status, Pros and Cons, Feasibility and Barriers. In Innovative Solutions for Energy Transitions, pp. 3026-3031, 2019.
  • Jeon, Byung-Ki – Kim, Eui-Jong – Shin, Younggy – Lee, Kyoung-Ho: Learning-Based Predictive Building Energy Model Using Weather Forecasts for Optimal Control of Domestic Energy Systems. Sustainability, no. 1, vol. 11, 2019.
  • Kavalionak, H. – Carlini, E.: An HVAC Regulation Architecture for Smart Building Based on Weather Forecast. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11113 LNCS, pp. 92-103, 2019.
  • Zhou, Y. – Zheng, S. – Zhang, G.: Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ uncertainties. Renewable Energy, 2019.
  • Terzi, E. – Fagiano, L. – Farina, M. – Scattolini, R.: Structured modelling from data and optimal control of the cooling system of a large business center. Journal of Building Engineering, no. 101043, vol. 28, 2020.
  • Dasgupta, A. – Bakshi, A. – Chowdhury, N. – De, R.K.: A control theoretic three timescale model for analyzing energy management in mammalian cancer cells. Computational and Structural Biotechnology Journal, vol. 19, pp. 477-508, 2021.
  • Joe, J. – Dong, J. – Munk, J. – Kuruganti, T. – Cui, B.: Virtual storage capability of residential buildings for sustainable smart city via model-based predictive control. Sustainable Cities and Society, no. 102491, vol. 64, 2021.
  • Abioye, E.A. – Abidin, M.S.Z. – Aman, M.N. – Mahmud, M.S.A. – Buyamin, S.: A model predictive controller for precision irrigation using discrete lagurre networks. Computers and Electronics in Agriculture, no. 105953, vol. 181, 2021.
  • Goyal, M. – Pandey, M. – Thakur, R.: Exploratory Analysis of Machine Learning Techniques to predict Energy Efficiency in Buildings. In ICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), pp. 1033-1037, 2020.
  • Fathollahzadeh, M.H. – Tabares-Velasco, P.C.: Building control virtual test bed and functional mock-up interface standard: comparison in the context of campus energy modelling and control. Journal of Building Performance Simulation, no. 4, vol. 13, pp. 456-471, 2020.
  • Bäumelt, T. – Dostál, J.: Distributed agent-based building grey-box model identification. Control Engineering Practice, no. 104427, vol. 101, 2020.
  • Ellis, M.J. – Chinde, V.: An encoder–decoder LSTM-based EMPC framework applied to a building HVAC system. Chemical Engineering Research and Design, vol. 160, pp. 508-520, 2020.
  • Habibi, K. – Hoseini, S.M. – Dehshti, M. – Khanian, M. – Mosavi, A.: The impact of natural elements on environmental comfort in the iranian-islamic historical city of Isfahan. International Journal of Environmental Research and Public Health, no. 16, vol. 17, pp. 1-18, 2020.
  • Olama, M. – Dong, J. – Sharma, I. – Xue, Y. – Kuruganti, T.: Frequency analysis of solar pv power to enable optimal building load control. Energies, no. 18, vol. 13, 2020.
  • Kim, J. – Kim, K.-I.: Data-driven hybrid model and operating algorithm to shave peak demand costs of building electricity. Energy and Buildings, no. 110493, vol. 229, 2020.
  • Kathirgamanathan, A. – De Rosa, M. – Mangina, E. – Finn, D.P.: Data-driven predictive control for unlocking building energy flexibility: A review. Renewable and Sustainable Energy Reviews, no. 110120, vol. 135, 2021.
  • Ceccon, L. – Villa, D.: AI-BIM Interdisciplinary Spill-Overs: Prospected Interplay of AI and BIM Development Paradigms. Springer Tracts in Civil Engineering, pp. 195-217, 2021.
  • Zhao, J. – Li, J. – Shan, Y.: Research on a forecasted load-and time delay-based model predictive control (MPC) district energy system model. Energy and Buildings, no. 110631, vol. 231, 2021.
  • Lucia, S. – Navarro, D. – Karg, B. – Sarnago, H. – Lucia, O.: Deep Learning-Based Model Predictive Control for Resonant Power Converters. IEEE Transactions on Industrial Informatics, no. 1, vol. 17, pp. 409-420, 2021.
  • Zhou, Y. – Zheng, S.: Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities. Applied Energy, no. 114416, vol. 262, 2020.
  • Krishnadas, G. – Kiprakis, A.: A machine learning pipeline for demand response capacity scheduling. Energies, no. 7, vol. 13, 2020.
  • Zhou, Y. – Zheng, S. – Zhang, G.: Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ uncertainties. Renewable Energy, vol. 151, pp. 403-418, 2020.
  • Hassanpour, H. – Corbett, B. – Mhaskar, P.: Integrating dynamic neural network models with principal component analysis for adaptive model predictive control. Chemical Engineering Research and Design, vol. 161, pp. 26-37, 2020.
  • Yewale, A. – Methekar, R. – Agrawal, S.: Multiple model-based control of multi variable continuous microbial fuel cell (CMFC) using machine learning approaches. Computers and Chemical Engineering, no. 106884, vol. 140, 2020.
  • Seong, N.-C. – Kim, J.-H. – Choi, W.: Adjustment of multiple variables for optimal control of building energy performance via a genetic algorithm. Buildings, no. 11, vol. 10, pp. 1-13, 2020.
  • Gholamzadehmir, M. – Del Pero, C. – Buffa, S. – Fedrizzi, R. – Aste, N.: Adaptive-predictive control strategy for HVAC systems in smart buildings – A review. Sustainable Cities and Society, no. 102480, vol. 63, 2020.
  • Schwenkel, L. – Gharbi, M. – Trimpe, S. – Ebenbauer, C.: Online learning with stability guarantees: A memory-based warm starting for real-time MPC. Automatica, no. 109247, vol. 122, 2020.
  • Urata, Y. – Shiraishi, Y.: Study on multiple input multiple output type model predictive control in order to reduce mutual interference of air conditioning indoor units. Journal of Environmental Engineering (Japan), no. 771, vol. 85, pp. 371-377, 2020.
  • Maddalena, E.T. – Lian, Y. – Jones, C.N.: Data-driven methods for building control — A review and promising future directions. Control Engineering Practice, no. 104211, vol. 95, 2020.
  • Goyal, M. – Pandey, M.: Towards Prediction of Energy Consumption of HVAC Plants Using Machine Learning. Communications in Computer and Information Science, vol. 1229 CCIS, pp. 254-265, 2020.
  • Ke, J. – Qin, Y. – Wang, B. – Yang, S. – Wu, H. – Yang, H. – Zhao, X.: Data-driven predictive control of building energy consumption under the IoT architecture. Wireless Communications and Mobile Computing, no. 8849541, vol. 2020, 2020.
  • Cotrufo, N. – Saloux, E. – Hardy, J.M. – Candanedo, J.A. – Platon, R.: A practical artificial intelligence-based approach for predictive control in commercial and institutional buildings. Energy and Buildings, no. 109563, vol. 206, 2020.
  • Yang, S. – Wan, M.P. – Ng, B.F. – Dubey, S. – Henze, G.P. – Chen, W. – Baskaran, K.: Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system. Applied Energy, no. 113920, vol. 257, 2020.
  • Goyal, M. – Pandey, M.: A Systematic Analysis for Energy Performance Predictions in Residential Buildings Using Ensemble Learning. Arabian Journal for Science and Engineering, 2020.
J. Holaza – M. Klaučo – J. Drgoňa – J. OravecM. KvasnicaM. Fikar: MPC-Based Reference Governor Control of a Continuous Stirred-Tank Reactor. Computers & Chemical Engineering, vol. 108, pp. 289–299, 2018.
  • Number of citations       14
  • Lorena Garzon-Castro, Claudia – Delgado-Aguilera, Efredy – Alexander Cortes-Romero, John – Tello, Edisson – Mazzanti, Gianfranco: Performance of an active disturbance rejection control on a simulated continuous microalgae photobioreactor. Computers & Chemical Engineering, vol. 117, pp. 129-144, 2018.
  • Garzón-Castro, C.L. – Delgado-Aguilera, E. – Cortés-Romero, J.A. – Tello, E. – Mazzanti, G.: Performance of an active disturbance rejection control on a simulated continuous microalgae photobioreactor. Computers and Chemical Engineering, vol. 117, pp. 129-144, 2018.
  • Aliskan, I.: Adaptive Model Predictive Control for Wiener Nonlinear Systems. Iranian Journal of Science and Technology - Transactions of Electrical Engineering, vol. 43, pp. 361-377, 2019.
  • Edwin, E.L.R. – Garcia, C.: Predictive controller applied to a pH neutralization process. In IFAC-PapersOnLine, pp. 202-206, 2019.
  • Aliskan, Ibrahim: A Novel Fuzzy PI Control Approach for Nonlinear Processes. Arabian Journal for Science and Engineering, no. 8, vol. 45, pp. 6821-6834, 2020.
  • Xu, Hansong – Liu, Xing – Yu, Wei – Griffith, David – Golmie, Nada: Reinforcement Learning-Based Control and Networking Co-Design for Industrial Internet of Things. IEEE Journal on Selected Areas in Communications, no. 5, vol. 38, pp. 885-898, 2020.
  • Garzon-Castro, C.L. – Cardona, M. – Velazquez, R. – Del-Valle-Soto, C.: Intelligent PI controller for microalgae growth in a closed photobioreactor. In 2020 IEEE ANDESCON, ANDESCON 2020, 2020.
  • Balula, S. – Liniger, A. – Rupenyan, A. – Lygeros, J.: Reference design for closed loop system optimization. In European Control Conference 2020, ECC 2020, pp. 650-655, 2020.
  • Xu, H. – Liu, X. – Yu, W. – Griffith, D. – Golmie, N.: Reinforcement Learning-Based Control and Networking Co-Design for Industrial Internet of Things. IEEE Journal on Selected Areas in Communications, no. 5, vol. 38, pp. 885-898, 2020.
  • Ortiz, O.J.R. – Castelblanco, J.S.U. – Fonseca, G.L.V.: MRAC and MPC Controllers for Load Application System of the Accelerated Testing Equipment of Pavements. International Journal on Advanced Science, Engineering and Information Technology, no. 5, vol. 10, pp. 1946-1953, 2020.
  • Farajzadeh-D., M.-G. – Sani, S.K.H.: An improved two-loop model predictive control design for nonlinear robust reference tracking with practical advantages. Optimal Control Applications and Methods, 2020.
  • Pipino, H.A. – Cappelletti, C.A. – Adam, E.J.: Adaptive multi-model predictive control applied to continuous stirred tank reactor. Computers and Chemical Engineering, no. 107195, vol. 145, 2021.
  • Farajzadeh-D, Mohammad-G – Sani, S. K. Hosseini: An improved two-loop model predictive control design for nonlinear robust reference tracking with practical advantages. Optimal Control Applications & Methods, no. 2, vol. 42, pp. 548-565, 2021.
  • Paulusova, Jana – Vesely, Vojtech: Optimal Offline MPC Design: Output Feedback. International Journal of Innovative Computing Information and Control, no. 2, vol. 17, pp. 461-472, 2021.
D. Picard – J. Drgoňa – M. Kvasnica – L. Helsen: Impact of the controller model complexity on model predictive control performance for buildings. Energy and Buildings, pp. 739–751, 2017.
  • Number of citations       14
  • Blum, D.H. – Arendt, K. – Rivalin, L. – Piette, M.A. – Wetter, M. – Veje, C.T.: Practical factors of envelope model setup and their effects on the performance of model predictive control for building heating, ventilating, and air conditioning systems. Applied Energy, vol. 236, pp. 410-425, 2019.
  • Benndorf, G.A. – Wystrcil, D. – Réhault, N.: Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control. Applied Physics Reviews, no. 4, vol. 5, 2018.
  • Chen, J. – Augenbroe, G. – Song, X.: Lighted-weighted model predictive control for hybrid ventilation operation based on clusters of neural network models. Automation in Construction, vol. 89, pp. 250-265, 2018.
  • Patel, Nishith R: Economic Optimization of Large-Scale Commercial Building Heating, Ventilation, and Air Conditioning Systems. 2018.
  • Cotrufo, N. – Candanedo, J.: A novel Local Correction-based (LC-b) approach for low-order control-oriented models. In Journal of Physics: Conference Series, 2019.
  • Qu, S. – Su, S. – Li, H. – Hu, W.: Optimized control of the supply water temperature in the thermally activated building system for cold climate in China. Sustainable Cities and Society, no. 101742, vol. 51, 2019.
  • Mancini, F. – Basso, G.L. – Santoli, L.D.: Energy use in residential buildings: Impact of building automation control systems on energy performance and flexibility. Energies, no. 15, vol. 12, 2019.
  • Gomez-Romero, J. – Fernandez-Basso, C.J. – Cambronero, M.V. – Molina-Solana, M. – Campana, J.R. – Ruiz, M.D. – Martin-Bautista, M.J.: A Probabilistic Algorithm for Predictive Control with Full-Complexity Models in Non-Residential Buildings. IEEE Access, no. 8669762, vol. 7, pp. 38748-38765, 2019.
  • Mork, M. – Xhonneux, A. – Müller, D.: Hierarchical Model Predictive Control for complex building energy systems. Bauphysik, no. 6, vol. 42, pp. 306-314, 2020.
  • Mazar, M.M. – Rezaeizadeh, A.: Adaptive model predictive climate control of multi-unit buildings using weather forecast data. Journal of Building Engineering, no. 101449, vol. 32, 2020.
  • Valenzuela, P.E. – Ebadat, A. – Everitt, N. – Parisio, A.: Closed-loop identification for model predictive control of HVAC systems: From input design to controller synthesis. IEEE Transactions on Control Systems Technology, no. 5, vol. 28, pp. 1681-1695, 2020.
  • Date, J. – Candanedo, J.A. – Athienitis, A.K. – Lavigne, K.: Development of reduced order thermal dynamic models for building load flexibility of an electrically-heated high temperature thermal storage device. Science and Technology for the Built Environment, no. 7, vol. 26, pp. 956-974, 2020.
  • Chen, X. – Li, J. – Yang, A. – Zhang, Q.: Artificial Neural Network-Aided Energy Management Scheme for Unlocking Demand Response. In Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, pp. 1901-1905, 2020.
  • Kim, D. – Bae, Y. – Yun, S. – Braun, J.E.: A methodology for generating reduced-order models for large-scale buildings using the Krylov subspace method. Journal of Building Performance Simulation, no. 4, vol. 13, pp. 419-429, 2020.
D. Ingole – M. Kvasnica – H. De Silva – J. Gustafson: Reducing Memory Footprints in Explicit Model Predictive Control using Universal Numbers. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 12100–12105, 2017.
  • Number of citations       4
  • Cococcioni, M. – Ruffaldi, E. – Saponara, S.: Exploiting Posit Arithmetic for Deep Neural Networks in Autonomous Driving Applications. In 2018 International Conference of Electrical and Electronic Technologies for Automotive, AUTOMOTIVE 2018, 2018.
  • Karg, Benjamin – Lucia, Sergio: Efficient representation and approximation of model predictive control laws via deep learning. arXiv preprint arXiv:1806.10644, 2018.
  • Salamati, Mahmoud – Salvia, Rocco – Darulova, Eva – Soudjani, Sadegh – Majumdar, Rupak: Memory-Efficient Mixed-Precision Implementations for Robust Explicit Model Predictive Control. Acm Transactions on Embedded Computing Systems, no. 5, S, SI, vol. 18, 2019.
  • Karg, B. – Lucia, S.: Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Transactions on Cybernetics, no. 9, vol. 50, pp. 3866-3878, 2020.
J. Holaza – M. KlaučoM. Kvasnica: Solution Techniques for Multi-Layer MPC-Based Control Strategies. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, 2017.
  • Number of citations       1
  • de Almeida, Fabio A.: Constrained dynamic compensation with model predictive control for tracking. Aerospace Science and Technology, no. UNSP 105340, vol. 93, 2019.
F. Janeček – M. KlaučoM. KalúzM. Kvasnica: OPTIPLAN: A Matlab Toolbox for Model Predictive Control with Obstacle Avoidance. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, 2017.
  • Number of citations       6
  • Ioan, Daniel – Olaru, Sorin – Prodan, Ionela – Stoican, Florin – Niculescu, Silviu-Iulian: Navigation in a multi-obstacle environment. From partition of the space to a zonotopic-based MPC. In 2019 18th European Control Conference (ECC), pp. 1772-1777, 2019.
  • Stoican, Florin – Prodan, Ionela – Grotli, Esten Ingar: Exact and overapproximated guarantees for corner cutting avoidance in a multiobstacle environment. International Journal of Robust and Nonlinear Control, no. 15, vol. 28, pp. 4528-4548, 2018.
  • Ioan, D. – Prodan, I. – Stoican, F. – Olaru, S. – Niculescu, S.-I.: Complexity bounds for obstacle avoidance within a zonotopic framework. In Proceedings of the American Control Conference, pp. 335-340, 2019.
  • Ioan, D. – Olaru, S. – Prodan, I. – Stoican, F. – Niculescu, S.-I.: Parametrized Hyperplane Arrangements for Control Design with Collision Avoidance Constraints. In IEEE International Conference on Control and Automation, ICCA, pp. 1591-1596, 2019.
  • Ioan, D. – Prodan, I. – Olaru, S. – Stoican, F. – Niculescu, S.-I.: Mixed-integer programming in motion planning. Annual Reviews in Control, 2020.
  • Ioan, D. – Olaru, S. – Prodan, I. – Stoican, F. – Niculescu, S.-I.: From Obstacle-Based Space Partitioning to Corridors and Path Planning. A Convex Lifting Approach. IEEE Control Systems Letters, no. 1, vol. 4, pp. 79-84, 2020.
J. Oravec – Y. Jiang – B. Houska – M. Kvasnica: Parallel Explicit MPC for Hardware with Limited Memory. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 3356–3361, 2017.
  • Number of citations       1
  • Findeisen, R. – Graichen, K. – Mönnigmann, M.: Embedded optimization in control: An introduction, opportunities, and challenges [Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen]. At-Automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
J. OravecM. KvasnicaM. Bakošová: Quasi-Non-Symmetric Input and Output Constraints in LMI-based Robust MPC. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 11829–11834, 2017.
  • Number of citations       3
  • Thau, E. – Kanial, E. – Marinescu, B. – Denis, G.: Model Predictive Control of VSC-HVDC Embedded into AC Grid Subject to State and Control Constraints. In 2019 IEEE Milan Powertech, 2019.
  • Katkout, Abdiddaim – Nasser, Tamou – Essadki, Ahmed: Novel Predictive Control for the IPMSM Fed by the 3L-SNPC Inverter for EVAs: Modified Lyapunov Function, Computational Efficiency, and Delay Compensation. Mathematical Problems in Engineering, no. 2515107, vol. 2020, 2020.
  • E. Thau – E. Kamal – B. Marinescu – G. Denis: EMT Implementation and Validation of MPC for VSC-HVDC Embedded in AC Meshed Grid. In 2020 IEEE Electric Power and Energy Conference (EPEC), pp. 1-6, 2020.
D. Ingole – J. Drgoňa – M. Kvasnica: Offset-Free Hybrid Model Predictive Control of Bispectral Index in Anesthesia. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 422–427, 2017.
  • Number of citations       3
  • Frick, Damian: Numerical Methods for Decision-Making in Control from Hybrid Systems to Formal Specifications. 2018.
  • Ghita, M. – Neckebroek, M. – Muresan, C. – Copot, D.: Closed-loop control of anesthesia: Survey on actual trends, challenges and perspectives. IEEE Access, no. 9257370, vol. 8, pp. 206264-206279, 2020.
  • Khodaei, M.J. – Candelino, N. – Mehrvarz, A. – Jalili, N.: Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation. IEEE Access, no. 8964302, vol. 8, pp. 23965-24005, 2020.
J. Drgoňa – Z. Takáč – M. Horňák – R. ValoM. Kvasnica: Fuzzy Control of a Laboratory Binary Distillation Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 120–125, 2017.
  • Number of citations       4
  • Maulidda, R. – Rusmin, P.H. – Rohman, A.S. – Idris Hidayat, E.M. – Mahayana, D.: Modeling and Simulation of Mini Batch Distillation Column. In Proceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017, pp. 62-67, 2018.
  • Mirzavand, N. – Piltan, F. – Kim, J.-M.: Intelligent control of an uncertain distillation column using a multivariable filter decoupling-based PID like fuzzy controller. International Journal of Control and Automation, no. 1, vol. 11, pp. 99-112, 2018.
  • Rohman, A.S. – Rusmin, P.H. – Maulidda, R. – Hidayat, E.M.I. – Machbub, C. – Mahayana, D.: Modelling of the Mini Batch Distillation Column. International Journal on Electrical Engineering and Informatic, no. 2, vol. 10, pp. 350-368, 2018.
  • Alawad, N. – Alseady, A.: Fuzzy controller of model reduction distillation column with minimal rules. Applied Computer Science, no. 2, vol. 16, pp. 80-94, 2020.
F. Janeček – M. KlaučoM. Kvasnica: Trajectory Planning and Following for UAVs with Nonlinear Dynamics. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 333–338, 2017.
  • Number of citations       1
  • Ioan, D. – Prodan, I. – Olaru, S. – Stoican, F. – Niculescu, S.-I.: Mixed-integer programming in motion planning. Annual Reviews in Control, 2020.
J. OravecM. KlaučoM. Kvasnica – J. Löfberg: Computationally Tractable Formulations for Optimal Path Planning with Interception of Targets’ Neighborhoods. Journal of Guidance, Control, and Dynamics, no. 5, vol. 40, pp. 1221–1230, 2017.
  • Number of citations       1
  • Q. Hu – J. Xie – X. Liu: Trajectory optimization for accompanying satellite obstacle avoidance. Aerospace Science and Technology, 2018.
  • Number of citations       18
  • Raha, A. – Chakrabarty, A. – Raghunathan, V. – Buzzard, G.T.: Ultrafast embedded explicit model predictive control for nonlinear systems. In Proceedings of the American Control Conference, pp. 4398-4403, 2017.
  • Molina, L.M.C. – Galluzzi, R. – Bonfitto, A. – Tonoli, A. – Amati, N.: Magnetic levitation control based on flux density and current measurement. Applied Sciences (Switzerland), no. 12, vol. 8, 2018.
  • Findeisen, R. – Graichen, K. – Mönnigmann, M.: Embedded optimization in control: An introduction, opportunities, and challenges [Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen]. At-Automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
  • Bonfitto, A. – Molina, L.M.C. – Tonoli, A. – Amati, N.: Offset-free model predictive control for active magnetic bearing systems. High-Throughput, no. 3, vol. 7, 2018.
  • Swetha, C – Mohan, Dhanoj – Devadhas, G Glan – Augustine, Clint: Control Analysis of Magnetic Levitation System. In 2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT), pp. 600--604, 2018.
  • Berner, Patrik Simon – Mönnigmann, M.: Event-Based Networked Model Predictive Control With Overclocked Local Nodes. In 2018 European Control Conference (ECC), pp. 306--311, 2018.
  • Cavanini, Luca – Cimini, Gionata – Ippoliti, Gianluca: Model predictive control for pre-compensated power converters: Application to current mode control. Journal of the Franklin Institute-engineering and Applied Mathematics, no. 4, vol. 356, pp. 2015-2030, 2019.
  • C. Yfoulis – S. Papadopoulou – S. Voutetakis: Enhanced control of a buck-boost DC-DC converter via a closed-form MPC reference governor scheme. In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, pp. 365-370, 2019.
  • La Delfa, S. – Enjalbert, S. – Polet, P. – Vanderhaegen, F.: Design of a cooperative eco-driving rail control system: an experimental study. Cognition, Technology and Work, 2019.
  • Farajzadeh-D, Mohammad-G – Sani, S. K. Hosseini: An improved two-loop model predictive control design for nonlinear robust reference tracking with practical advantages. Optimal Control Applications & Methods, no. OM2UV, 2020.
  • Ogumerem, Gerald S. – Pistikopoulos, Efstratios N.: Parametric optimization and control for a smart Proton Exchange Membrane Water Electrolysis (PEMWE) system. Journal of Process Control, no. MC5ZG, vol. 91, pp. 37-49, 2020.
  • Zhang, Zhenlin – Zhou, Yonghua – Tao, Xin: Model predictive control of a magnetic levitation system using two-level state feedback. Measurement & Control, no. 5-6, vol. 53, pp. 962-970, 2020.
  • Raha, Arnab – Chakrabarty, Ankush – Raghunathan, Vijay – Buzzard, Gregery T.: Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power. IEEE Transactions on Control Systems Technology, no. 3, vol. 28, pp. 1092-1099, 2020.
  • Fatemimoghadam, Armita – Toshani, Hamid – Manthouri, Mohammad: Control of magnetic levitation system using recurrent neural network-based adaptive optimal backstepping strategy. Transactions of the Institute of Measurement and Control, no. 13, vol. 42, pp. 2382-2395, 2020.
  • Mughees, Abdullah – Mohsin, Syed Ali: Design and Control of Magnetic Levitation System by Optimizing Fractional Order PID Controller Using Ant Colony Optimization Algorithm. IEEE Access, no. ML0MY, vol. 8, pp. 116704-116723, 2020.
  • G. Takács – J. Mihalík – E. Mikuláš – M. Gulan: MagnetoShield: Prototype of a Low-Cost Magnetic Levitation Device for Control Education. In 2020 IEEE Global Engineering Education Conference (EDUCON), pp. 1516-1525, 2020.
  • L. Dutta – D. Kumar Das: A Linear Model Predictive Control design for Magnetic Levitation System. In 2020 International Conference on Computational Performance Evaluation (ComPE), pp. 039-043, 2020.
  • M. Hypiusová – D. Rosinová – A. Kozáková: Comparison of State Feedback Controllers for the Magnetic Levitation System. In 2020 Cybernetics Informatics (K I), pp. 1-6, 2020.
N. A. Nguyen – S. Olaru – P. Rodríguez-Ayerbe – M. Kvasnica: Convex liftings-based robust control design. Automatica, no. March 2017, vol. 77, pp. 206–213, 2017.
  • Number of citations       4
  • Maddalena, E.T. – Galvão, R.K.H. – Afonso, R.J.M.: Robust region elimination for piecewise affine control laws. Automatica, vol. 99, pp. 333-337, 2019.
  • Heng, Q. – Sun, Y. – Li, J. – Lu, J.: H∞ Lower Order Controller for AC Servo System of Multiple Rockets. In IOP Conference Series: Materials Science and Engineering, 2019.
  • Oravec, J. – Horváthová, M. – Bakošová, M.: Energy efficient convex-lifting-based robust control of a heat exchanger. Energy, no. 117566, vol. 201, 2020.
  • Horváthová, M. – Oravec, J. – Bakošová, M.: Efficient convex-lifting-based robust control of a chemical reactor. Chemical Engineering Transactions, vol. 81, pp. 865-8670, 2020.
J. Drgoňa – M. Klaučo – F. Janeček – M. Kvasnica: Optimal control of a laboratory binary distillation column via regionless explicit MPC. Computers & Chemical Engineering, vol. 96, pp. 139–148, 2017.
  • Number of citations       8
  • Ramezani, M.H. – Sadati, N.: Hierarchical optimal control of a binary distillation column. Optimal Control Applications and Methods, 2018.
  • Ahmadian Behrooz, H.: Robust set-point optimization of inferential control system of crude oil distillation units. ISA Transactions, 2019.
  • Ramezani, Mohammad Hossein – Sadati, Nasser: Hierarchical optimal control of a binary distillation column. Optimal Control Applications & Methods, no. 1, vol. 40, pp. 172-185, 2019.
  • Bayram, Ismail – Hapoglu, Hale – Aldemir, Adnan: Impact of Robust Error Control on Fluid Level by Wireless Network Applications. Journal of Polytechnic-politeknik Dergisi, no. 3, vol. 21, pp. 685-691, 2018.
  • Behrooz, Hesam Ahmadian: Robust set-point optimization of inferential control system of crude oil distillation units. Isa Transactions, vol. 95, pp. 93-109, 2019.
  • Katz, Justin – Burnak, Baris – Pistikopoulos, Efstratios N.: A space exploration algorithm for multiparametric programming via Delaunay triangulation. Optimization and Engineering, 2020.
  • Jeong, M. – Fuchs, S. – Biela, J.: When FPGAs Meet Regionless Explicit MPC: An Implementation of Long-horizon Linear MPC for Power Electronic Systems. In IECON Proceedings (Industrial Electronics Conference), pp. 3085-3092, 2020.
  • J. OravecM. Bakošová – P. Valiauga: Advanced Process Control Design for a Distillation Column Using UniSim Design. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 303–308, 2017.
M. KlaučoM. Kvasnica: Control of a boiler-turbine unit using MPC-based reference governors. Applied Thermal Engineering, vol. 110, pp. 1437–1447, 2017.
  • Number of citations       35
  • Fan Zhang – Xiao Wu – Jiong Shen: Extended state observer based fuzzy model predictive control for ultra-supercritical boiler-turbine unit. Applied Thermal Engineering, vol. 118, pp. 90 - 100, 2017.
  • Emre ÖZKOP – İsmail Hakkı ALTAŞ: Performance of PSO Based Classical and Intelligent Controllers for Water Level Control of a Steam Generator. Journal of Science and Engineering, no. 57, vol. 19, pp. 835, 2017.
  • Gholamreza Vossoughi – Hamed Moradi – Soheil Ghabraei: Design & application of adaptive variable structure & H∞ robust optimal schemes in nonlinear control of boiler-turbine unit in the presence of various uncertainties. Energy, 2017.
  • Zhuo, X. – Lou, C. – Zhou, H. – Zhuo, J. – Fu, P.: Hierarchical Takagi-Sugeno fuzzy hyperbolic tangent static model control for a circulating fluidized bed boiler thermal power unit. Energy, vol. 162, pp. 910-917, 2018.
  • Oravec, J. – Bakošová, M. – Trafczynski, M. – Vasičkaninová, A. – Mészáros, A. – Markowski, M.: Robust model predictive control and PID control of shell-and-tube heat exchangers. Energy, vol. 159, pp. 1-10, 2018.
  • Wang, D. – Zhou, Y. – Li, X.: A dynamic model used for controller design for fast cut back of coal-fired boiler-turbine plant. Energy, vol. 144, pp. 526-534, 2018.
  • Oravec, J. – Bakošová, M. – Vasičkaninová, A. – Mészáros, A.: Robust model predictive control of a plate heat exchanger. Chemical Engineering Transactions, vol. 70, pp. 25-30, 2018.
  • Ghabraei, S. – Moradi, H. – Vossoughi, G.: Design & application of adaptive variable structure & H∞ robust optimal schemes in nonlinear control of boiler-turbine unit in the presence of various uncertainties. Energy, vol. 142, pp. 1040-1056, 2018.
  • Pina, W. – Feliu-Batlle, V. – Rivas-Perez, R.: Direct continuous-Time system identification of the purification process of the nimotuzumab, a humanized monoclonal antibody. IEEE Latin America Transactions, no. 1, vol. 16, pp. 31-37, 2018.
  • Zhang, F. – Zhang, Y. – Wu, X. – Shen, J. – Lee, K.Y.: Control of ultra-supercritical once-through boiler-turbine unit using MPC and ESO approaches. In 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017, pp. 994-999, 2017.
  • Oravec, J. – Trafczynski, M. – Bakošová, M. – Markowski, M. – Mészáros, A. – Urbaniec, K.: Robust model predictive control of heat exchanger network in the presence of fouling. Chemical Engineering Transactions, vol. 61, pp. 337-342, 2017.
  • Zhou, Y. – Wang, D.: An improved coordinated control technology for coal-fired boiler-turbine plant based on flexible steam extraction system. Applied Thermal Engineering, vol. 125, pp. 1047-1060, 2017.
  • Spinelli, Stefano – Farina, Marcello – Ballarino, Andrea: A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units. In 2018 European Control Conference (ECC), pp. 416--421, 2018.
  • Zhu, J. – Wu, X. – Shen, J.: Practical disturbance rejection control for boiler-turbine unit with input constraints. Applied Thermal Engineering, no. 114184, vol. 161, 2019.
  • Niu, Y. – Du, M. – Ge, W. – Luo, H. – Zhou, G.: A dynamic nonlinear model for a once-through boiler-turbine unit in low load. Applied Thermal Engineering, no. 113880, vol. 161, 2019.
  • Hultgren, M. – Ikonen, E. – Kovács, J.: Integrated control and process design for improved load changes in fluidized bed boiler steam path. Chemical Engineering Science, vol. 199, pp. 164-178, 2019.
  • Li, X. – Fu, J. – Cao, H.: Simulation study on fuzzy state variable-mpc of coal- fired power plants. In ACM International Conference Proceeding Series, pp. 91-95, 2019.
  • P.U., S. – Desai, K. – Barve, J. – Nataraj, P.S.V.: An experimental case study of robust cascade two-element control of boiler drum level. ISA Transactions, 2019.
  • Wang, G. – Wu, J. – Ma, X.: A nonlinear state-feedback state-feedforward tracking control strategy for a boiler-turbine unit. Asian Journal of Control, 2019.
  • Li, Xiaoming – Fu, Junfeng – Cao, Hong: Simulation Study on Fuzzy State Variable-MPC of Coal-Fired Power Plants. In Proceedings of the 11th International Conference on Computer Modeling and Simulation (iccms 2019) and 8th International Conference on Intelligent Computing and Applications (icica 2019), pp. 91-95, 2019.
  • Spinelli, Stefano – Farina, Marcello – Ballarino, Andrea: An optimal hierarchical control scheme for smart generation units: An application to combined steam and electricity generation. Journal of Process Control, vol. 94, pp. 58-74, 2020.
  • Du, Ming – Niu, Yuguang – Li, Hong – Zhou, Zhenhua – Zhang, Jingxiang – Jiang, Xiaotao – Liu, Rui: The control-oriented model of coordinated control system based on stochastic differential equations. Energy Science & Engineering, 2020.
  • Wang, Guoxu – Wu, Jie – Ma, Xiaoqian: A nonlinear state-feedback state-feedforward tracking control strategy for a boiler-turbine unit. Asian Journal of Control, no. 5, vol. 22, pp. 2004-2016, 2020.
  • Fan, He – Su, Zhi-gang – Wang, Pei-hong – Lee, Kwang Y.: A dynamic mathematical model for once-through boiler-turbine units with superheated steam temperature. Applied Thermal Engineering, no. 114912, vol. 170, 2020.
  • Sunil, P. U. – Desai, Khushali – Barve, Jayesh – Nataraj, P. S. V.: An experimental case study of robust cascade two-element control of boiler drum level. Isa Transactions, vol. 96, pp. 337-351, 2020.
  • Niu, Yuguang – Du, Ming – Ge, Weichun – Luo, Huanhuan – Zhou, Guiping: A dynamic nonlinear model for a once-through boiler-turbine unit in low load. Applied Thermal Engineering, no. 113880, vol. 161, 2019.
  • Zhu, Jianzhong – Wu, Xiao – Shen, Jiong: Practical disturbance rejection control for boiler-turbine unit with input constraints. Applied Thermal Engineering, no. 114184, vol. 161, 2019.
  • Hultgren, Matias – Ikonen, Enso – Kovacs, Jeno: Integrated control and process design for improved load changes in fluidized bed boiler steam path. Chemical Engineering Science, vol. 199, pp. 164-178, 2019.
  • Efremova, T. – Shchegolev, S.: Boiler drum automatic power management system. In E3S Web of Conferences, 2020.
  • Spinelli, S. – Farina, M. – Ballarino, A.: An optimal hierarchical control scheme for smart generation units: An application to combined steam and electricity generation. Journal of Process Control, vol. 94, pp. 58-74, 2020.
  • Wang, G. – Wu, J. – Ma, X.: A nonlinear state-feedback state-feedforward tracking control strategy for a boiler-turbine unit. Asian Journal of Control, no. 5, vol. 22, pp. 2004-2016, 2020.
  • Fan, H. – Su, Z.-G. – Wang, P.-H. – Lee, K.Y.: A dynamic mathematical model for once-through boiler-turbine units with superheated steam temperature. Applied Thermal Engineering, no. 114912, vol. 170, 2020.
  • Furka, M. – Kis, K. – Horvathova, M. – Mojto, M. – Bakosova, M.: Identification and control of a cascade of biochemical reactors. In Proceedings of the 30th International Conference on Cybernetics and Informatics, K and I 2020, 2020.
  • Sunil, P.U. – Desai, K. – Barve, J. – Nataraj, P.S.V.: An experimental case study of robust cascade two-element control of boiler drum level. ISA Transactions, vol. 96, pp. 337-351, 2020.
  • Du, M. – Niu, Y. – Li, H. – Zhou, Z. – Zhang, J. – Jiang, X. – Liu, R.: The control-oriented model of coordinated control system based on stochastic differential equations. Energy Science and Engineering, 2020.
  • Number of citations       2
  • Lucia, Sergio – Karg, Benjamin: A deep learning-based approach to robust nonlinear model predictive control. IFAC-PapersOnLine, no. 20, vol. 51, pp. 511--516, 2018.
  • Arezoo, Jamal – Salahshoor, Karim: Complexity Reduction of Explicit Model Predictive Control via Combining Separator Function and Binary Search Trees. American Journal of Computer Science and Technology, no. 1, vol. 1, pp. 19--23, 2018.
B. Takács – J. Števek – R. ValoM. Kvasnica: Python Code Generation for Explicit MPC in MPT. In European Control Conference 2016, Aalborg, Denmark, pp. 1328–1333, 2016.
  • Number of citations       7
  • Zhang, J. – Xiu, X.: K-d tree based approach for point location problem in explicit model predictive control. Journal of the Franklin Institute, no. 13, vol. 355, pp. 5431-5451, 2018.
  • Scaglioni, Bruno – Previtera, Luca – Martin, James – Norton, Joseph – Obstein, Keith L. – Valdastri, Pietro: Explicit Model Predictive Control of a Magnetic Flexible Endoscope. IEEE Robotics and Automation Letters, no. 2, vol. 4, pp. 716-723, 2019.
  • Jin, Y. – Han, S. – Lee, S.: Implementation of Tracking Control System for Autonomous Mobile Robot based on State Estimation with Multi-sensor. Transactions of the Korean Institute of Electrical Engineers, no. 5, vol. 68, pp. 678-684, 2019.
  • Drgoňa, Ján – Kiš, Karol – Tuor, Aaron – Vrabie, Draguna – Klauco, Martin: Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning, 2020.
  • Bezerra, Sandy – Cordeiro, Matheus – Rocha, Atslands – Delicato, Flávia: Fusão Hierárquica de Dados para Sistemas de Computação em Névoa, 2020.
  • H. {Fukumoto} – T. {Yamaguchi} – M. {Ishibashi} – T. {Furukawa}: Developing a Remote Laboratory System of Stepper Motor for Learning Support. IEEE Transactions on Education, pp. 1-7, 2020.
  • Papadimitriou, A. – Andrikopoulos, G. – Nikolakopoulos, G.: Experimental Evaluation of an Explicit Model Predictive Controller for an Adhesion Vortex Actuated Climbing Robot. In Proceedings of the American Control Conference, pp. 2137-2142, 2020.
M. Klaučo – S. Blažek – M. Kvasnica: An Optimal Path Planning Problem for Heterogeneous Multi-Vehicle Systems. International Journal of Applied Mathematics and Computer Science, no. 2, vol. 26, pp. 297–308, 2016.
  • Number of citations       11
  • Cera, M. – Fedriani, E.M.: An advance in infinite graph models for the analysis of transportation networks. International Journal of Applied Mathematics and Computer Science, no. 4, vol. 26, pp. 855-870, 2016.
  • Ha, J.-S. – Choi, H.-L. – Jeon, J.H.: Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems. International Journal of Applied Mathematics and Computer Science, no. 1, vol. 28, pp. 155-168, 2018.
  • Adacher, L. – Gemma, A.: A robust algorithm to solve the signal setting problem considering different traffic assignment approaches. International Journal of Applied Mathematics and Computer Science, no. 4, vol. 27, pp. 815-826, 2017.
  • Sullivan, N. – Grainger, S. – Cazzolato, B.: Robust heterogeneous multi-robot routing for low-intelligence agents. In Australasian Conference on Robotics and Automation, ACRA, pp. 287-295, 2017.
  • Liu, Xiao-Huan – Zhang, De-Gan – Yan, Hao-Ran – Cui, Yu-Ya – Chen, Lu: A New Algorithm of the Best Path Selection Based on Machine Learning. IEEE ACCess, vol. 7, pp. 126913-126928, 2019.
  • Jafarzadeh, Hassan – Fleming, Cody H.: AN EXACT GEOMETRY-BASED ALGORITHM FOR PATH PLANNING. International Journal of Applied Mathematics and Computer Science, no. 3, vol. 28, pp. 493-504, 2018.
  • Ha, Jung-Su – Choi, Han-Lim – Jeon, Jeong Hwan: ITERATIVE METHODS FOR EFFICIENT SAMPLING-BASED OPTIMAL MOTION PLANNING OF NONLINEAR SYSTEMS. International Journal of Applied Mathematics and Computer Science, no. 1, vol. 28, pp. 155-168, 2018.
  • Adacher, Ludovica – Gemma, Andrea: A ROBUST ALGORITHM TO SOLVE THE SIGNAL SETTING PROBLEM CONSIDERING DIFFERENT TRAFFIC ASSIGNMENT APPROACHES. International Journal of Applied Mathematics and Computer Science, no. 4, vol. 27, pp. 815-826, 2017.
  • Cera, Martin – Fedriani, Eugenio M.: AN ADVANCE IN INFINITE GRAPH MODELS FOR THE ANALYSIS OF TRANSPORTATION NETWORKS. International Journal of Applied Mathematics and Computer Science, no. 4, vol. 26, pp. 855-869, 2016.
  • Chen, M. – Chen, Y. – Chen, Z. – Yang, Y.: Path planning of UAV-UGV heterogeneous robot system in road network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11745 LNAI, pp. 497-507, 2019.
  • Khaksar, W. – Uddin, M.Z. – Torresen, J.: Multiquery Motion Planning in Uncertain Spaces: Incremental Adaptive Randomized Roadmaps. International Journal of Applied Mathematics and Computer Science, no. 4, vol. 29, pp. 641-654, 2020.
A. Sharma – J. Drgoňa – D. Ingole – J. Holaza – R. Valo – S. Koniar – M. Kvasnica: Teaching Classical and Advanced Control of Binary Distillation Column. In Preprints of the 11th IFAC Symposium on Advances in Control Education, vol. 11, pp. 348–353, 2016.
  • Number of citations       1
  • Figueredo, M.A. – Rodriguez, S.M. – Mayorga, E.: Evaluation of dynamic model and assessing computational time of an embedded system. Case study: A distillation column. In 2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings, 2020.
J. Drgoňa – M. KlaučoM. Kvasnica: MPC-Based Reference Governors for Thermostatically Controlled Residential Buildings. In 54th IEEE Conference on Decision and Control, Osaka, Japan, vol. 54, 2015.
  • Number of citations       4
  • Lomas, K.J. – Oliveira, S. – Warren, P. – Haines, V.J. – Chatterton, T. – Beizaee, A. – Prestwood, E. – Gething, B.: Do domestic heating controls save energy? A review of the evidence. Renewable and Sustainable Energy Reviews, vol. 93, pp. 52-75, 2018.
  • Baumeister, Alexander – Schaefer, C.: Design of an Online Optimisation Tool for Smart Home Heating Control. 2018.
  • Adam, Martin – Pecorelli, Mario – others: Recommendations in Augmented Reality Applications-the Effect of Customer Reviews and Seller Recommendations on Purchase Intention and Product Selection. 2018.
  • Short, Michael – Rodriguez, Sergio – Charlesworth, Richard – Crosbie, Tracey – Dawood, Nashwan: Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach. Energies, no. 22, vol. 12, 2019.
M. Kvasnica – B. Takács – J. Holaza – S. Di Cairano: On Region-Free Explicit Model Predictive Control. In 54th IEEE Conference on Decision and Control, Osaka, Japan, vol. 54, pp. 3669–3674, 2015.
  • Number of citations       15
  • Nielsen, I. – Axehill, D.: Reduced Memory Footprint in Multiparametric Quadratic Programming by Exploiting Low Rank Structure. arXiv preprint arXiv:1603.05034, 2016.
  • Nguyen, N. A.: Convex Liftings: Theory and Control Applications. 2016.
  • Diangelakis, N.A. – Burnak, B. – Katz, J. – Pistikopoulos, E.N.: Process design and control optimization: A simultaneous approach by multi-parametric programming. AIChE Journal, no. 11, vol. 63, pp. 4827-4846, 2017.
  • Nguyen, Ngoc Anh – Gulan, Martin – Olaru, Sorin – Rodriguez-Ayerbe, Pedro: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, 2017.
  • Gulan, Martin – Takacs, Gergely – Nguyen, Ngoc Anh – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – others: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, 2017.
  • Nielsen, Isak: Structure-Exploiting Numerical Algorithms for Optimal Control, vol. 1848, 2017.
  • Koduri, Rajesh: Robustesse de la commande predictive explicite, 2017.
  • Sun, M. – Villanueva, M.E. – Pistikopoulos, E.N. – Chachuat, B.: Methodology for robust multi-parametric control in linear continuous-time systems. Journal of Process Control, vol. 73, pp. 58-74, 2019.
  • Gulan, M. – Takacs, G. – Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P. – Rohaľ-Ilkiv, B.: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, no. 1, vol. 27, pp. 48-62, 2019.
  • Findeisen, R. – Graichen, K. – Mönnigmann, M.: Embedded optimization in control: An introduction, opportunities, and challenges [Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen]. At-Automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
  • Ahmadi-Moshkenani, P. – Johansen, T.A. – Olaru, S.: Combinatorial approach toward multiparametric quadratic programming based on characterizing adjacent critical regions. IEEE Transactions on Automatic Control, no. 10, vol. 63, pp. 3221-3231, 2018.
  • Nguyen, N.A. – Gulan, M. – Olaru, S. – Rodriguez-Ayerbe, P.: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, no. 5, vol. 63, pp. 1243-1258, 2018.
  • Katz, J. – Pistikopoulos, E.N.: A partial multiparametric optimization strategy to improve the computational performance of model predictive control. Computers and Chemical Engineering, no. 107057, vol. 142, 2020.
  • Jeong, M. – Fuchs, S. – Biela, J.: When FPGAs Meet Regionless Explicit MPC: An Implementation of Long-horizon Linear MPC for Power Electronic Systems. In IECON Proceedings (Industrial Electronics Conference), pp. 3085-3092, 2020.
  • Drgoňa, J. – Arroyo, J. – Cupeiro Figueroa, I. – Blum, D. – Arendt, K. – Kim, D. – Ollé, E.P. – Oravec, J. – Wetter, M. – Vrabie, D.L. – Helsen, L.: All you need to know about model predictive control for buildings. Annual Reviews in Control, vol. 50, pp. 190-232, 2020.
M. Herceg – C. Jones – M. Kvasnica – M. Morari: Enumeration-based approach to solving parametric linear complementarity problems. Automatica, no. 62, pp. 243–248, 2015.
  • Number of citations       24
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Adelgren, Nathan – Wiecek, Margaret M.: A two-phase algorithm for the multiparametric linear complementarity problem. European Journal of Operational Research, no. 3, vol. 254, pp. 715-738, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Avraamidou, S. – Pistikopoulos, E.N.: On unbounded and binary parameters in multi-parametric programming: applications to mixed-integer bilevel optimization and duality theory. Journal of Global Optimization, no. 3, vol. 69, pp. 587-606, 2017.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Ahmadi-Moshkenani, P. – Johansen, T. A. – Olaru, S.: On degeneracy in exploration of combinatorial tree in multi-parametric quadratic programming. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 2320-2326, 2016.
  • Oberdieck, R. – Diangelakis, N. A. – Avraamidou, S. – Pistikopoulos, E. N.: On unbounded and binary parameters in multi-parametric programming: applications to mixed-integer bilevel optimization and duality theory. Journal of Global Optimization, pp. 1-20, 2016.
  • Adelgren, N.: Solution Techniques for Classes of Biobjective and Parametric Programs. 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Pistikopoulos, E.N.: Explicit model predictive control: A connected-graph approach. Automatica, vol. 76, pp. 103-112, 2017.
  • Ahmadi-Moshkenani, P. – Olaru, S. – Johansen, T.A.: Further results on the exploration of combinatorial tree in multi-parametric quadratic programming. In 2016 European Control Conference, ECC 2016, pp. 116-122, 2017.
  • Sun, M. – Villanueva, M.E. – Pistikopoulos, E.N. – Chachuat, B.: Methodology for robust multi-parametric control in linear continuous-time systems. Journal of Process Control, vol. 73, pp. 58-74, 2019.
  • Findeisen, R. – Graichen, K. – Mönnigmann, M.: Embedded optimization in control: An introduction, opportunities, and challenges [Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen]. At-Automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
  • Ahmadi-Moshkenani, P. – Johansen, T.A. – Olaru, S.: Combinatorial approach toward multiparametric quadratic programming based on characterizing adjacent critical regions. IEEE Transactions on Automatic Control, no. 10, vol. 63, pp. 3221-3231, 2018.
  • Zhang, J. – Xiu, X.: K-d tree based approach for point location problem in explicit model predictive control. Journal of the Franklin Institute, no. 13, vol. 355, pp. 5431-5451, 2018.
  • Liang, Shu – Zeng, Xianlin: MULTI-AGENT NETWORK FLOWS THAT SOLVE LINEAR COMPLEMENTARITY PROBLEMS. Kybernetika, no. 3, vol. 54, pp. 542-556, 2018.
  • Avraamidou, Styliani – Pistikopoulos, Efstratios N: B-POP: Bi-level parametric optimization toolbox. Computers & Chemical Engineering, 2018.
  • Xiu, Xiaojie – Zhang, Ju: Grid kd tree approach for point location in polyhedral data sets--application to explicit MPC. International Journal of Control, pp. 1--9, 2018.
  • Mönnigmann, M.: On the structure of the set of active sets in constrained linear quadratic regulation. arXiv preprint arXiv:1808.03592, 2018.
  • Moennigmann, Martin: On the structure of the set of active sets in constrained linear quadratic regulation. Automatica, vol. 106, pp. 61-69, 2019.
  • Stoican, Florin – Irofti, Paul: Aiding Dictionary Learning Through Multi-Parametric Sparse Representation. Algorithms, no. 7, vol. 12, 2019.
  • Avraamidou, Styliani – Pistikopoulos, Efstratios N.: B-POP: Bi-level parametric optimization toolbox. Computers & Chemical Engineering, no. SI, vol. 122, pp. 193-202, 2019.
  • Sun, Muxin – Villanueva, Mario E. – Pistikopoulos, Efstratios N. – Chachuat, Benoit: Methodology for robust multi-parametric control in linear continuous-time systems. Journal of Process Control, vol. 73, pp. 58-74, 2019.
  • Pappas, I. – Diangelakis, N.A. – Pistikopoulos, E.N.: The exact solution of multiparametric quadratically constrained quadratic programming problems. Journal of Global Optimization, no. 1, vol. 79, pp. 59-85, 2021.
  • Mitze, R. – Mönnigmann, M.: A dynamic programming approach to solving constrained linear–quadratic optimal control problems. Automatica, no. 109132, vol. 120, 2020.
  • Xiu, X. – Zhang, J.: Grid k-d tree approach for point location in polyhedral data sets–application to explicit MPC. International Journal of Control, no. 4, vol. 93, pp. 872-880, 2020.
D. Ingole – M. Kvasnica: FPGA Implementation of Explicit Model Predictive Control for Closed Loop Control of Depth of Anesthesia. In Preprints of the 5th IFAC Conference on Nonlinear Model Predictive Control, pp. 484–489, 2015.
  • Number of citations       5
  • Zavitsanou, S. – Chakrabarty, A. – Dassau, E. – Doyle, F. J.: Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas. Processes, no. 4, vol. 35, 2016.
  • Pawlowski, A. – Merigo, L. – Guzman, J.L. – Visioli, A. – Dormido, S.: Event-based GPC for depth of hypnosis in anesthesia for efficient use of propofol. In 2017 3rd International Conference on Event-Based Control, Communication and Signal Processing, EBCCSP 2017 - Proceedings, 2017.
  • Koduri, R. – Olaru, S. – Rodriguez-Ayerbe, P.: Sensitivity of Piecewise Control Laws with Respect to Perturbation of the State-Space Partition. In Proceedings - 2017 21st International Conference on Control Systems and Computer, CSCS 2017, pp. 13-18, 2017.
  • Alouane, A. – Rhouma, A.B. – Hamouda, M. – Khedher, A.: Efficient FPGA-based real-time implementation of an SVPWM algorithm for a delta inverter. IET Power Electronics, no. 9, vol. 11, 2018.
  • Yu, Yu-Ning – Doctor, Faiyaz – Fan, Shou-Zen – Shieh, Jiann-Shing: An Adaptive Monitoring Scheme for Automatic Control of Anaesthesia in dynamic surgical environments based on Bispectral Index and Blood Pressure. Journal of Medical Systems, no. 5, vol. 42, 2018.
L. Cseko – M. Kvasnica – B. Lantos: Explicit MPC-Based RBF Neural Network Controller Design With Discrete-Time Actual Kalman Filter for Semiactive Suspension. IEEE Transactions on Control Systems Technology, no. 5, vol. 23, pp. 1736–1753, 2015.
  • Number of citations       32
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Dominic, Shane – Shardt, Yuri A. W. – Ding, Steven X. – Luo, Hao: An Adaptive, Advanced Control Strategy for KPI-Based Optimization of Industrial Processes. IEEE Transactions on Industrial Electronics, no. 5, vol. 63, pp. 3252-3260, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Khan, S.A.R. – Yu, Z.: Logistics forecasting method based on a hybrid quantum particle swarm optimization and RBF neural network model. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, no. 18, vol. 2016, pp. 317-325, 2016.
  • Wei, C. – Luo, J. – Dai, H. – Yin, Z. – Ma, W. – Yuan, J.: Globally robust explicit model predictive control of constrained systems exploiting SVM‐based approximation. International Journal of Robust and Nonlinear Control, 2016.
  • Gao, S. – Chen, P. – Huang, D. – Niu, Q.: Stability Analysis of Multi-Sensor Kalman Filtering over Lossy Networks. Sensors, no. 4, vol. 16, pp. 566, 2016.
  • Wei, C. – Luo, J. – Dai, H. – Yin, Z. – Ma, W. – Yuan, J.: Globally robust explicit model predictive control of constrained systems exploiting SVM-based approximation. International Journal of Robust and Nonlinear Control, no. 16, vol. 27, pp. 3000-3027, 2017.
  • Sun, Y. – Zhang, J. – Wang, X. – Wang, Z. – Yu, J.I.E.: Recognition method of drinking-driving behaviors based on PCA and RBF neural network. Promet - Traffic - Traffico, no. 4, vol. 30, pp. 407-417, 2018.
  • Ting, S. – Fucai, Q. – Shaolin, H. – Guo, X. – Hengzhan, Y. – Hui, Y.: Nonlinear systems modeling based on self-adaptive dual control. In Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018, pp. 461-465, 2018.
  • Wu, J. – Liu, Z.: Piecewise Affine H∞ Control of Half-Car Magneto-Rheological Suspension Systems. IFAC-PapersOnLine, no. 31, vol. 51, pp. 967-972, 2018.
  • Kamiński, M. – Najdek, K.: Adaptive neural controller based on RBF model applied for electrical drive with PMSM motor [Adaptacyjny regulator neuronowy typu RBF zastosowany w sterowaniu napędem elektrycznym z silnikami PMSM]. Przeglad Elektrotechniczny, no. 6, vol. 94, pp. 94-98, 2018.
  • Lucia, S. – Karg, B.: A deep learning-based approach to robust nonlinear model predictive control. IFAC-PapersOnLine, no. 20, vol. 51, pp. 511-516, 2018.
  • Wu, Jian – Liu, Zhiyuan: Piecewise Affine H-infinity Control of Half-Car Magneto-Rheological Suspension Systems. Ifac Papersonline, no. 31, vol. 51, pp. 967-972, 2018.
  • Karg, Benjamin – Lucia, Sergio: Deep learning-based embedded mixed-integer model predictive control. In 2018 European Control Conference (ECC), pp. 2075--2080, 2018.
  • Wu, Jian – Liu, Zhiyuan – Chen, Wen: Design of a Piecewise Affine H∞ Controller for MR Semiactive Suspensions With Nonlinear Constraints. IEEE Transactions on Control Systems Technology, no. 99, pp. 1--10, 2018.
  • Karg, Benjamin – Lucia, Sergio: Efficient representation and approximation of model predictive control laws via deep learning. arXiv preprint arXiv:1806.10644, 2018.
  • Rathai, Karthik Murali Madhavan – Sename, Olivier – Alamir, Mazen: Reachability based Model Predictive Control for Semi-active Suspension System. In 2019 Fifth Indian Control Conference (icc), pp. 68-73, 2019.
  • Wu, Jian – Zhou, Hongliang – Liu, Zhiyuan – Gu, Mingqin: A load-dependent PWA-H-infinity controller for semi-active suspensions to exploit the performance of MR dampers. Mechanical Systems and Signal Processing, vol. 127, pp. 441-462, 2019.
  • Wu, Jian – Liu, Zhiyuan – Chen, Wen: Design of a Piecewise Affine H-infinity Controller for MR Semiactive Suspensions With Nonlinear Constraints. IEEE Transactions on Control Systems Technology, no. 4, vol. 27, pp. 1762-1771, 2019.
  • Gango, D. – Peni, T. – Toth, R.: Learning Based Approximate Model Predictive Control for Nonlinear Systems. Ifac Papersonline, no. 28, vol. 52, pp. 152-157, 2019.
  • Nie, Shida – Zhuang, Ye – Chen, Fan – Wang, Yong – Liu, Shu: A method to eliminate unsprung adverse effect of in-wheel motor-driven vehicles. Journal of Low Frequency Noise Vibration and Active Control, no. 4, vol. 37, pp. 955-976, 2018.
  • Du, H. – Wang, L. – Chen, J. – Huang, H. – Wang, Y.: Adaptive fuzzy radial basis function neural network integral sliding mode tracking control for heavy vehicle electro-hydraulic power steering systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019.
  • Kumar, S. – Medhavi, A. – Kumar, R.: Active and passive suspension system performance under random road profile excitations. International Journal of Acoustics and Vibrations, no. 4, vol. 25, pp. 532-541, 2021.
  • Bonzanini, A.D. – Paulson, J.A. – Makrygiorgos, G. – Mesbah, A.: Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks. Computers and Chemical Engineering, no. 107174, vol. 145, 2021.
  • Wang, R. – Wang, Y. – Ding, R. – Sun, D.: Research on semi-active control of magnetorheological suspension based on Kalman observation [基于卡尔曼观测器的磁流变悬架半主动控制]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), no. 12, vol. 48, pp. 49-54, 2020.
  • Li, Z. – Sun, W. – Gao, H.: Energy-driven-damper (EDD): Comfort-oriented semiactive suspensions optimized from an energy perspective. IEEE Transactions on Control Systems Technology, no. 5, vol. 28, pp. 2069-2076, 2020.
  • Karg, B. – Lucia, S.: Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Transactions on Cybernetics, no. 9, vol. 50, pp. 3866-3878, 2020.
  • Wu, J. – Zhou, H. – Liu, Z. – Gu, M.: Ride Comfort Optimization via Speed Planning and Preview Semi-Active Suspension Control for Autonomous Vehicles on Uneven Roads. IEEE Transactions on Vehicular Technology, no. 8, vol. 69, pp. 8343-8355, 2020.
  • Paulson, J.A. – Mesbah, A.: Approximate Closed-Loop Robust Model Predictive Control with Guaranteed Stability and Constraint Satisfaction. IEEE Control Systems Letters, no. 3, vol. 4, pp. 719-724, 2020.
  • Venkatesan, S. – Kamaraj, P. – Priya, M.V.: Speed control of permanent magnet synchronous motor using neural network model predictive control. Journal of Energy Systems, no. 2, vol. 4, pp. 71-87, 2020.
  • Mai, V.N. – Yoon, D.-S. – Choi, S.-B. – Kim, G.-W.: Explicit model predictive control of semi-active suspension systems with magneto-rheological dampers subject to input constraints. Journal of Intelligent Material Systems and Structures, no. 9, vol. 31, pp. 1157-1170, 2020.
  • Du, H. – Wang, L. – Chen, J. – Huang, H. – Wang, Y.: Adaptive fuzzy radial basis function neural network integral sliding mode tracking control for heavy vehicle electro-hydraulic power steering systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, no. 2-3, vol. 234, pp. 872-886, 2020.
J. OravecM. KlaučoM. Kvasnica – J. Löfberg: Optimal Vehicle Routing with Interception of Targets’ Neighbourhoods. In European Control Conference 2015, Linz, Austria, pp. 2538–2543, 2015.
  • Number of citations       3
  • Chen, Y. – Tan, Y. – Cheng, L. – Wu, H.: Path planning for a heterogeneous aerial-ground robot system with neighbourhood constraints. Jiqiren/Robot, no. 1, vol. 39, pp. 1-7, 2017.
  • Chen, Y. – Ren, S. – Chen, Z. – Chen, M. – Wu, H.: Path planning for vehicle-borne system consisting of multi air-ground robots. Robotica, no. 3, vol. 38, pp. 493-511, 2020.
  • Chen, M. – Chen, Y. – Chen, Z. – Yang, Y.: Path planning of UAV-UGV heterogeneous robot system in road network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11745 LNAI, pp. 497-507, 2019.
M. Kvasnica – J. Holaza – B. Takács – D. Ingole: Design and Verification of Low-Complexity Explicit MPC Controllers in MPT3. In European Control Conference 2015, Linz, Austria, pp. 2600–2605, 2015.
  • Number of citations       6
  • Oberdieck, R. – Diangelakis, N.A. – Papathanasiou, M.M. – Nascu, I. – Pistikopoulos, E.N.: POP - Parametric Optimization Toolbox. Industrial and Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Bentaleb, T. – Nguyen, V.T. – Sentouh, C. – Conreur, G. – Poulain, T. – Pudlo, P.: A real-time multi-objective predictive control strategy for wheelchair ergometer platform. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2397-2404, 2019.
  • Bidi, F.K. – Grondin, D. – Damour, C. – Hilairet, M. – Benne, M.: Energy management system in micro-grid with storage and hydrogen production. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, pp. 5044-5049, 2018.
  • Stickan, B. – Reichert, S. – DIehl, M.: Model predictive control of a 3-phase grid-connected b6-inverter with LCL-Filter in abc-Coordinates. In 2017 19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe, 2017.
  • Dantas, A.D.O.S. – Dantas, A.F.O.A. – Almeida, T.F.D. – Dórea, C.E.T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, no. 14, vol. 51, pp. 2533-2548, 2020.
  • Jeong, M. – Fuchs, S. – Biela, J.: When FPGAs Meet Regionless Explicit MPC: An Implementation of Long-horizon Linear MPC for Power Electronic Systems. In IECON Proceedings (Industrial Electronics Conference), pp. 3085-3092, 2020.
J. Holaza – B. Takács – M. Kvasnica – S. Di Cairano: Safety Verification of Implicitly Defined MPC Feedback Laws. In European Control Conference 2015, Linz, Austria, pp. 2552–2557, 2015.
  • Number of citations       1
  • Ordonez Aguileta, Pablo Armando: Formal Design and Verification of Digital PID Gain Scheduling Controllers. 2018.
M. Honek – M. Kvasnica – A. Szűcs – P. Šimončič – M. Fikar – B. Rohaľ-Ilkiv: A low-complexity explicit MPC controller for AFR control. Control Engineering Practice, no. 60, pp. 118–127, 2015.
  • Number of citations       10
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Carbot-Rojas, D. A. – Escobar-Jimenez, R. F. – Gomez -Aguilar, J. F. – Tellez-Anguiano, A. C.: A survey on modeling, biofuels, control and supervision systems applied in internal combustion engines. Renewable & Sustainable Energy Reviews, vol. 73, pp. 1070-1085, 2017.
  • Findeisen, Rolf – Graichen, Knut – Mönnigmann, M.: Embedded optimization in control: an introduction, opportunities, and challenges. At-automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
  • Nawaz, Muhammad – Saqib, Muhammad Asghar – Kashif, Syed Abdul Rahman – Gul, Mehr: Constrained model predictive control for an induction heating load. Transactions of the Institute of Measurement and Control, pp. 0142331218758887, 2018.
  • Berner, Patrik Simon – Mönnigmann, M.: Event-Based Networked Model Predictive Control With Overclocked Local Nodes. In 2018 European Control Conference (ECC), pp. 306--311, 2018.
  • Wu, Jinhui – Chen, Xu – Liu, Andong – Yu, Li: Predictive control for visual servoing control of cyber physical systems with packet loss. Peer-to-peer Networking and Applications, no. 6, SI, vol. 12, pp. 1774-1784, 2019.
  • Nawaz, Muhammad – Saqib, Muhammad Asghar – Kashif, Syed Abdul Rahman – Gul, Mehr: Constrained model predictive control for an induction heating load. Transactions of the Institute of Measurement and Control, no. 1, vol. 41, pp. 210-218, 2019.
  • Triwiyatno, A. – Setiyono, B. – Panjaitan, J.H.D. – Kurniahadi, A. – Setiawan, I.: Design of Air-Fuel Ratio Control Using Gain- Scheduled Fuzzy-PID for Small Scooter Engine. In 7th International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2020 - Proceedings, pp. 47-51, 2020.
  • Panjaitan, J.H.D. – Kurniahadi, A. – Triwiyatno, A. – Setiawan, I.: Design of Gain-Scheduled Fuzzy PID Controller for AFR Control System of SI-Based Motorcycle Engine Model. In 7th International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2020 - Proceedings, pp. 19-24, 2020.
  • Wu, J. – Jin, Z. – Liu, A. – Yu, L.: Vision-based neural predictive tracking control for multi-manipulator systems with parametric uncertainty. ISA Transactions, 2020.
D. Ingole – J. Holaza – B. Takács – M. Kvasnica: FPGA-Based Explicit Model Predictive Control for Closed-Loop Control of Intravenous Anesthesia. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 42–47, 2015.
  • Number of citations       10
  • Zavitsanou, S. – Chakrabarty, A. – Dassau, E. – Doyle, F. J.: Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas. Processes, no. 4, vol. 4, pp. 35, 2016.
  • Gersnoviez, Andres – Brox, Maria – Baturone, Iluminada: High-Speed and Low-Cost Implementation of Explicit Model Predictive Controllers. IEEE Transactions on Control Systems Technology, 2017.
  • Kubalcik, M. – Bobal, V. – Barot, T.: Modified hildreth’s method applied in multivariable model predictive control. Lecture Notes in Electrical Engineering, vol. 505, pp. 75-81, 2019.
  • Barot, T.: Complemented adaptive control strategy with application in pedagogical cybernetics. Advances in Intelligent Systems and Computing, vol. 765, pp. 53-62, 2019.
  • Garcia, Maria Camila Cardona – Santacruz, David Alejandro Vallejo – Vargas, Daniel Felipe Valencia – Murillo, Jose Fernando Valencia: FPGA Implementation of a Pharmacodynamic and Pharmacokinetics (PK/PD) Model for Application in General Anesthesia. In 2018 IEEE ANDESCON, pp. 1--6, 2018.
  • Gersnoviez, Andres – Brox, Maria – Baturone, Iluminada: High-Speed and Low-Cost Implementation of Explicit Model Predictive Controllers. IEEE Transactions on Control Systems Technology, no. 2, vol. 27, pp. 647-662, 2019.
  • Vaclavik, Marek – Sikorova, Zuzana – Barot, Tomas: Approach of Process Modeling Applied in Particular Pedagogical Research. In Cybernetics and Automation Control Theory Methods in Intelligent Algorithms, pp. 97-106, 2019.
  • Barot, T. – Krpec, R. – Kubalcik, M.: Applied Quadratic Programming with Principles of Statistical Paired Tests. Advances in Intelligent Systems and Computing, vol. 1047, pp. 278-287, 2019.
  • Kubalcik, M. – Barot, T.: Testing hypotheses used in analysis of control quality. In Proceedings - European Council for Modelling and Simulation, ECMS, pp. 132-137, 2019.
  • Khodaei, M.J. – Candelino, N. – Mehrvarz, A. – Jalili, N.: Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation. IEEE Access, no. 8964302, vol. 8, pp. 23965-24005, 2020.
B. Takács – J. Holaza – J. Števek – M. Kvasnica: Export of Explicit Model Predictive Control to Python. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 78–83, 2015.
  • Number of citations       5
  • Sahin, A. – Atici, E. – Kumbasar, T.: Type-2 fuzzified flappy bird control system. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, pp. 1578-1583, 2016.
  • Garzon, E. – Sanchez, F. – Procel, L.-M. – Trojman, L.: Remote control of VNA and parameter analyzer for RFCV measurements using Python. In Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016, 2017.
  • Piper, M. – Bhounsule, P.A. – Castillo-Villar, K.K.: How to beat flappy bird∗: A mixed-integer model predictive control approach. In ASME 2017 Dynamic Systems and Control Conference, DSCC 2017, 2017.
  • Sahin, A. – Kumbasar, T.: Type-2 fuzzy logic control in computer games. Studies in Fuzziness and Soft Computing, vol. 362, pp. 105-127, 2018.
  • Chih, Hsin-Ching – Huang, Wei-Tzer – Yao, Kai-Chao: Fluorescent Lamp Effect Correction on Capacitive Touch Panel by Timely Update Predicted Covariance Matrix. IEEE Transactions on Industrial Electronics, no. 7, vol. 66, pp. 5508-5515, 2019.
M. KalúzM. KlaučoM. Kvasnica: Real-Time Implementation of a Reference Governor on the Arduino Microcontroller. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 350–356, 2015.
  • Number of citations       6
  • Spiewak, A. – Salabun, W: A Mobile Gas Detector with an Arduino Microcontroller. International Journal of Computer Technology and Applications, no. 4, vol. 6, pp. 636-641, 2015.
  • Zavitsanou, S. – Chakrabarty, A. – Dassau, E. – Doyle III, F.J.: Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas. Processes, no. 4, vol. 4, 2016.
  • Bonfitto, A. – Molina, L.M.C. – Tonoli, A. – Amati, N.: Offset-free model predictive control for active magnetic bearing systems. Actuators, no. 3, vol. 7, 2018.
  • Mughees, Abdullah – Mohsin, Syed Ali: Design and Control of Magnetic Levitation System by Optimizing Fractional Order PID Controller Using Ant Colony Optimization Algorithm. IEEE Access, no. ML0MY, vol. 8, pp. 116704-116723, 2020.
  • Š. Chamraz – K. Žáková: Control of CE152 Magnetic Levitation: Linearly Changing Control Signal. In 2020 Cybernetics Informatics (K I), pp. 1-7, 2020.
  • Bengtsson, Lars: Implementation of Control Algorithms in Small Embedded Systems. Engineering, no. 9, vol. 12, pp. 623–639, 2020.
M. Kvasnica – B. Takács – J. Holaza – D. Ingole: Reachability Analysis and Control Synthesis for Uncertain Linear Systems in MPT. Editor(s): Fikar, M., In Proceedings of the 8th IFAC Symposium on Robust Control Design, Elsevier, Bratislava, Slovak Republic, no. 8, pp. 302–307, 2015.
  • Number of citations       15
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • HomChaudhuri, B. – Vinod, A. P. – Oishi, M. M.: Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. arXiv preprint arXiv:1610.03472, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Hure, N. – Vašak, M.: On Operating Envelope Protection Design for Nonlinear Discrete-time Systems. IFAC-PapersOnLine, no. 1, vol. 50, pp. 1390-1396, 2017.
  • Homchaudhuri, B. – Vinod, A.P. – Oishi, M.M.K.: Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. In Proceedings of the American Control Conference, pp. 4404-4411, 2017.
  • Vinod, A.P. – Baisravan – Oishi, M.M.K.: Forward stochastic reachability analysis for uncontrolled linear systems using fourier transforms. In HSCC 2017 - Proceedings of the 20th International Conference on Hybrid Systems: Computation and Control (part of CPS Week), pp. 35-44, 2017.
  • Ballesteros-Tolosana, I. – Olaru, S. – Rodriguez-Ayerbe, P. – Pita-Gil, G. – Deborne, R.: Comparison of optimization-based strategies for constrained control of auto-steering systems. In 2016 European Control Conference, ECC 2016, pp. 1592-1597, 2017.
  • Maddalena, E.T. – Galvão, R.K.H. – Afonso, R.J.M.: Robust region elimination for piecewise affine control laws. Automatica, vol. 99, pp. 333-337, 2019.
  • Ligthart, J.A.J. – Ploeg, J. – Semsar-Kazerooni, E. – Fusco, M. – Nijmeijer, H.: Safety analysis of a vehicle equipped with Cooperative Adaptive Cruise Control. IFAC-PapersOnLine, no. 9, vol. 51, pp. 367-372, 2018.
  • Gupta, Ankit – Falcone, Paolo: Low-Complexity Explicit MPC Controller for Vehicle Lateral Motion Control. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 2839--2844, 2018.
  • Pedro, Olaru Sorin Rodriguez Ayerbe – others: Commande Prédictive pour le Véhicule Autonome. 2018.
  • Hanema, J: Anticipative model predictive control for linear parameter-varying systems. 2018.
  • Malyuta, D. – Acikmese, B. – Cacan, M.: Robust model predictive control for linear systems with state and input dependent uncertainties. In Proceedings of the American Control Conference, pp. 1145-1151, 2019.
  • Lu, L. – Maciejowski, J.M.: Self-triggered MPC with performance guarantee using relaxed dynamic programming. Automatica, no. 108803, vol. 114, 2020.
  • Drgoňa, J. – Arroyo, J. – Cupeiro Figueroa, I. – Blum, D. – Arendt, K. – Kim, D. – Ollé, E.P. – Oravec, J. – Wetter, M. – Vrabie, D.L. – Helsen, L.: All you need to know about model predictive control for buildings. Annual Reviews in Control, vol. 50, pp. 190-232, 2020.
J. Holaza – B. Takács – M. Kvasnica – S. Di Cairano: Nearly optimal simple explicit MPC controllers with stability and feasibility guarantees. Optimal Control Applications and Methods, no. 6, vol. 35, 2015.
  • Number of citations       8
  • Jones, Colin N. – Kerrigan, Eric: Predictive control for embedded systems. Optimal Control Applications & Methods, no. 5, SI, vol. 36, pp. 583-584, 2015.
  • Gulan, Martin – Ngoc Anh Nguyen – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – Rohal-Ilkiv, Boris: Implications of Inverse Parametric Optimization in Model Predictive Control. In Developments in Model-based Optimization and Control: Distributed Control and Industrial Applications, pp. 49-70, 2015.
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Gersnoviez, Andrés – Brox, Maria – Baturone, Iluminada: High-Speed and Low-Cost Implementation of Explicit Model Predictive Controllers. IEEE Transactions on Control Systems Technology, 2017.
  • Bakarac, P. – Klauco, M. – Fikar, M.: Comparison of inverted pendulum stabilization with PID, LQ, and MPC control. In Proceedings of the 29th International Conference on Cybernetics and Informatics, K and I 2018, pp. 1-6, 2018.
  • Gersnoviez, Andres – Brox, Maria – Baturone, Iluminada: High-Speed and Low-Cost Implementation of Explicit Model Predictive Controllers. IEEE Transactions on Control Systems Technology, no. 2, vol. 27, pp. 647-662, 2019.
  • Dantas, A.D.O.S. – Dantas, A.F.O.A. – Almeida, T.F.D. – Dórea, C.E.T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, no. 14, vol. 51, pp. 2533-2548, 2020.
M. KlaučoM. Kvasnica: Explicit MPC Approach to PMV-Based Thermal Comfort Control. In 53rd IEEE Conference on Decision and Control, Los Angeles, California, USA, vol. 53, pp. 4856–4861, 2014.
  • Number of citations       10
  • Katsigarakis, K.I. – Kontes, G.D. – Giannakis, G.I. – Rovas, D.V.: Sense-Think-Act Framework for Intelligent Building Energy Management. Computer-Aided Civil and Infrastructure Engineering, no. 1, vol. 31, pp. 50-64, 2016.
  • Serale,G. – Fiorentini,M. – Capozzoli,A. – Bernardini,D. – Bemporad,A.: Model Predictive Control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities. Energies, no. 3, vol. 11, 2018.
  • Kontes, G.D. – Giannakis, G.I. – Sánchez, V. – de Agustin-Camacho, P. – Romero-Amorrortu, A. – Panagiotidou, N. – Rovas, D.V. – Steiger, S. – Mutschler, C. – Gruen, G.: Simulation-based evaluation and optimization of control strategies in buildings. Energies, no. 12, vol. 11, 2018.
  • Park, J.Y. – Nagy, Z.: Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review. Renewable and Sustainable Energy Reviews, vol. 82, pp. 2664-2679, 2018.
  • Schmidt, Mischa – Ahlund, Christer: Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency. Renewable & Sustainable Energy Reviews, vol. 90, pp. 742-756, 2018.
  • Carli, R. – Cavone, G. – Dotoli, M. – Epicoco, N. – Scarabaggio, P.: Model predictive control for thermal comfort optimization in building energy management systems. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2608-2613, 2019.
  • Yang, Shiyu – Wan, Man Pun – Chen, Wanyu – Ng, Bing Feng – Dubey, Swapnil: Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization. Applied Energy, no. 115147, vol. 271, 2020.
  • Kim, Joowook – Song, Doosam – Kim, Suyeon – Park, Sohyun – Choi, Youngjin – Lim, Hyunwoo: Energy-Saving Potential of Extending Temperature Set-Points in a VRF Air-Conditioned Building. Energies, no. 9, vol. 13, 2020.
  • Ngarambe, Jack – Yun, Geun Young – Santamouris, Mat: The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls. Energy and Buildings, no. 109807, vol. 211, 2020.
  • Carli, Raffaele – Cavone, Graziana – Ben Othman, Sarah – Dotoli, Mariagrazia: IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings. Sensors, no. 3, vol. 20, 2020.
M. Klaučo – J. Drgoňa – M. Kvasnica – S. Di Cairano: Building Temperature Control by Simple MPC-like Feedback Laws Learned from Closed-Loop Data. In Preprints of the 19th IFAC World Congress Cape Town (South Africa) August 24 - August 29, 2014, pp. 581–586, 2014.
  • Number of citations       5
  • Thieblemont Hélène – Haghighat Fariborz – Ooka Ryozo – Moreau Alain: Predictive Control Strategies based on Weather Forecast in Buildings with Energy Storage System: A Review of the State-of-the Art. Energy and Buildings, 2017.
  • Carli, R. – Cavone, G. – Dotoli, M. – Epicoco, N. – Scarabaggio, P.: Model predictive control for thermal comfort optimization in building energy management systems. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2608-2613, 2019.
  • Wang, J. – Li, S. – Chen, H. – Yuan, Y. – Huang, Y.: Data-driven model predictive control for building climate control: Three case studies on different buildings. Building and Environment, no. 106204, vol. 160, 2019.
  • Wang, X. – Liu, Y. – Xu, L. – Liu, J. – Sun, H.: A chance-constrained stochastic model predictive control for building integrated with renewable resources. Electric Power Systems Research, no. 106348, vol. 184, 2020.
  • Carli, R. – Cavone, G. – Othman, S.B. – Dotoli, M.: IoT based architecture for model predictive control of HVAC systems in smart buildings. Sensors (Switzerland), no. 3, vol. 20, 2020.
J. Holaza – B. Takács – M. Kvasnica: Verification of Performance Bounds for A-Posteriori Quantized Explicit MPC Feedback Laws. In Preprints of the 19th IFAC World Congress Cape Town (South Africa) August 24 - August 29, 2014, pp. 1035–1040, 2014.
  • Number of citations       2
  • Morin, J. – Colas, F. – Dieulot, J.Y. – Grenard, S. – Guillaud, X.: Embedding OLTC nonlinearities in predictive Volt Var Control for active distribution networks. Electric Power Systems Research, vol. 143, pp. 225-234, 2017.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
M. Klaučo – S. Blažek – M. KvasnicaM. Fikar: Mixed-Integer SOCP Formulation of the Path Planning Problem for Heterogeneous Multi-Vehicle Systems. In European Control Conference 2014, Strasbourg, France, pp. 1474–1479, 2014.
  • Number of citations       9
  • Gambella, C.: Mathematical Optimization for Routing and Logistic Problems. 2016.
  • Chen, Y. – Tan, Y. – Cheng, L. – Wu, H.: Path planning for a heterogeneous aerial-ground robot system with neighbourhood constraints. Jiqiren/Robot, no. 1, vol. 39, pp. 1-7, 2017.
  • Lodi, Andrea – Gambella, Claudio – Vigo, Daniele: Exact Solutions for the Carrier--Vehicle Traveling Salesman Problem. Transportation Science, vol. 52, pp. 320-330, 2018.
  • Chen, Yang – Ren, Shiwen – Chen, Zhihuan – Chen, Mengqing – Wu, Huaiyu: Path Planning for Vehicle-borne System Consisting of Multi Air-ground Robots. Robotica, no. 3, vol. 38, pp. 493-511, 2020.
  • Chen, M. – Chen, Y. – Chen, Z. – Yang, Y.: Path planning of UAV-UGV heterogeneous robot system in road network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11745 LNAI, pp. 497-507, 2019.
  • Ren, S. – Chen, Y. – Xiong, L. – Chen, Z. – Chen, M.: Path Planning for the Marsupial double-UAVs System in Air-ground Collaborative Application. In Chinese Control Conference, CCC, pp. 5420-5425, 2018.
  • Gambella, C. – Lodi, A. – Vigoa, D.: Exact solutions for the carrier-vehicle traveling salesman problem. Transportation Science, no. 2, vol. 52, pp. 320-330, 2018.
  • Fahradyan, T. – Bono Rossello, N. – Garone, E.: Multiple Carrier-Vehicle Travelling Salesman Problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11995 LNCS, pp. 180-189, 2020.
  • Erdogan, Gunes – Yildirim, E. Alper: Exact and Heuristic Algorithms for the Carrier-Vehicle Traveling Salesman Problem. Transportation Science, no. 1, vol. 55, pp. 101-121, 2021.
J. Drgoňa – M. KvasnicaM. KlaučoM. Fikar: Explicit Stochastic MPC Approach to Building Temperature Control. In IEEE Conference on Decision and Control, Florence, Italy, pp. 6440–6445, 2013.
  • Number of citations       11
  • Farina, M. – Giulioni, L. – Scattolini, R.: Stochastic linear Model Predictive Control with chance constraints – A review. Journal of Process Control, vol. 44, pp. 53-67, 2016.
  • Parisio, A. – Fabietti, L. – Molinari, M. – Varagnolo, D. – Johansson, K.H.: Control of HVAC systems via scenario-based explicit MPC. In Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, pp. 5201-5207, 2014.
  • Lesic, V. – Vasak, M. – Martincevic, A. – Gulin, M. – Starcic, A. – Novak, H.: Computer-Assisted Management of Building Climate and Microgrid with Model Predictive Control. International Journal of Computer, Electrical, Automation, Control and Information Engineering, no. 10, vol. 9, pp. 2036-2047, 2015.
  • A. Mesbah: Stochastic Model Predictive Control: An Overview and Perspectives for Future Research. IEEE Control Systems, no. 6, vol. 36, pp. 30-44, 2016.
  • Kontes, Georgios D. – Giannakis, Georgios I. – Horn, Philip – Steiger, Simone – Rovas, Dimitrios V.: Using Thermostats for Indoor Climate Control in Office Buildings: The Effect on Thermal Comfort. Energies, no. 9, vol. 10, 2017.
  • Vogler-Finck, P. J. C. – Wisniewski, R. – Popovski, P.: Reducing the carbon footprint of house heating through model predictive control - A simulation study in Danish conditions. Sustainable Cities and Society, vol. 42, pp. 558-573, 2018.
  • Ławryńczuk, M. – Ocłoń, P.: Model Predictive Control and energy optimisation in residential building with electric underfloor heating system. Energy, pp. 1028-1044, 2019.
  • Wang, R. – Bao, J.: Advanced-step Stochastic Model Predictive Control using Random Forests. In Proceedings of the IEEE Conference on Decision and Control, pp. 3283-3287, 2019.
  • Qin, D. – Qin, L.: Energy Management Strategy for a Power-split Hybrid Electric Vehicle Based on Explicit Stochastic Model Predictive Control [基于显式随机模型预测控制的功率分流式混合动力车辆能量管理策略]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), no. 7, vol. 47, pp. 112-120, 2019.
  • Valenzuela, Patricio E. – Ebadat, Afrooz – Everitt, Niklas – Parisio, Alessandra: Closed-Loop Identification for Model Predictive Control of HVAC Systems: From Input Design to Controller Synthesis. IEEE Transactions on Control Systems Technology, no. 5, vol. 28, pp. 1681-1695, 2020.
  • Kumar, Ranjeet – Wenzel, Michael J. – ElBsat, Mohammad N. – Risbeck, Michael J. – Drees, Kirk H. – Zavala, Victor M.: Stochastic model predictive control for central HVAC plants. Journal of Process Control, vol. 90, pp. 1-17, 2020.
B. Takács – J. Holaza – M. Kvasnica – S. Di Cairano: Nearly-Optimal Simple Explicit MPC Regulators with Recursive Feasibility Guarantees. In IEEE Conference on Decision and Control, Florence, Italy, pp. 7089–7094, 2013.
  • Number of citations       3
  • Zavitsanou, S. – Chakrabarty, A. – Dassau, E. – Doyle, F. J.: Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas. Processes, no. 4, vol. 4, pp. 35, 2016.
  • Chen, Y. – Li, S. – Li, N.: Complexity reduced explicit model predictive control by solving approximated mp-QP program. pp. 1-6, 2015.
  • Chen, S. – Saulnier, K. – Atanasov, N. – Lee, D.D. – Kumar, V. – Pappas, G.J. – Morari, M.: Approximating Explicit Model Predictive Control Using Constrained Neural Networks. In Proceedings of the American Control Conference, pp. 1520-1527, 2018.
J. Oravec – S. Blažek – M. Kvasnica – S. Di Cairano: Polygonic Representation of Explicit Model Predictive Control. In IEEE Conference on Decision and Control, Florence, Italy, pp. 6422–6427, 2013.
  • Number of citations       2
  • Dantas, Amanda D. O. S. – Dantas, Andre F. O. A. – Almeida, Tulio F. D. – Dorea, Carlos E. T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, no. 14, vol. 51, pp. 2533-2548, 2020.
  • Chakrabarty, Ankush – Dinh, Vu – Corless, Martin J. – Rundell, Ann E. – Zak, Stanislaw H. – Buzzard, Gregery T.: Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences. IEEE Transactions on Automatic Control, no. 1, vol. 62, pp. 135-148, 2017.
M. Herceg – M. Kvasnica – C. Jones – M. Morari: Multi-Parametric Toolbox 3.0. In 2013 European Control Conference, pp. 502–510, 2013.
  • Number of citations       457
  • Schaper, U. – Dittrich, C. – Arnold, E. – Schneider, K. – Sawodny, O.: 2-DOF skew control of boom cranes including state estimation and reference trajectory generation. Control Engineering Practice, vol. 33, pp. 63-75, 2014.
  • Simon, D. – Lofberg, J. – Glad, T.: Reference tracking MPC using dynamic terminal set transformation. IEEE Transactions on Automatic Control, no. 10, vol. 59, pp. 2790-2795, 2014.
  • Phillips, C.L.: A learning heuristic for space mapping and searching self-organizing systems using adaptive mesh refinement. Journal of Computational Physics, vol. 272, pp. 799-813, 2014.
  • Orlowski, P.: Complexity analysis of the piece-wise affine approximation for the car on the nonlinear hill model related to discrete-time, minimum time control problem. Elektronika ir Elektrotechnika, no. 10, vol. 20, pp. 3-6, 2014.
  • Brunner, F.D. – Lazar, M. – Allgöwer, F.: Computation of piecewise affine terminal cost functions for model predictive control. In HSCC 2014 - Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control (Part of CPS Week), pp. 1-10, 2014.
  • Rubagotti, M. – Barcelli, D. – Bemporad, A.: Robust explicit model predictive control via regular piecewise-affine approximation. International Journal of Control, no. 12, vol. 87, pp. 2583-2593, 2014.
  • Oettershagen, P. – Melzer, A. – Leutenegger, S. – Alexis, K. – Siegwart, R.: Explicit model predictive control and L1-navigation strategies for fixed-wing UAV path tracking. In 2014 22nd Mediterranean Conference on Control and Automation, MED 2014, pp. 1159-1165, 2014.
  • Wróbel, K. – Serkies, P.J.: Application of the model predictive control MPC to induction drive with elastic coupling [Wykorzystanie sterowania predykcyjnego z modelem w przestrzeni stanu w napędzie indukcyjnym z połączeniem sprężystym]. Przeglad Elektrotechniczny, vol. 90, pp. 189-192, 2014.
  • Ravanbakhsh, H. – Sankaranarayanan, S.: Infinite Horizon safety controller synthesis through disjunctive polyhedral abstract interpretation. In 2014 Proceedings of the International Conference on Embedded Software, EMSOFT 2014, 2014.
  • Brunner, F.D. – Heemels, W.P.M.H. – Allgower, F.: Robust self-triggered MPC for constrained linear systems. In 2014 European Control Conference, ECC 2014, pp. 472-477, 2014.
  • Lee, D.H. – Joo, Y.H. – Tak, M.H.: Local H-Inf control and invariant set analysis for continuous-time T-S fuzzy systems with magnitude- and energy-bounded disturbances. In IEEE International Conference on Fuzzy Systems, pp. 1990-1997, 2014.
  • Ramadan, A. – Choi, J. – Radcliffe, C.J.: Inferring human subject motor control intent using inverse MPC. In Proceedings of the American Control Conference, pp. 5791-5796, 2016.
  • Lee, Dong Hwan – Park, Jin Bae – Joo, Young Loon – Kim, Sung Kwan: Local H-infinity Controller Design for Continuous-time T-S Fuzzy Systems. International Journal of Control Automation and Systems, no. 6, vol. 13, pp. 1499-1507, 2015.
  • Shekhar, Rohan C. – Manzie, Chris: Optimal move blocking strategies for model predictive control. Automatica, vol. 61, pp. 27-34, 2015.
  • Necoara, Ion – Ferranti, Laura – Keviczky, Tamas: An adaptive constraint tightening approach to linear model predictive control based on approximation algorithms for optimization. Optimal Control Applications & Methods, no. 5, SI, vol. 36, pp. 648-666, 2015.
  • Kufoalor, D. K. M. – Aaker, V. – Johansen, T. A. – Imsland, L. – Eikrem, G. O.: Automatically generated embedded model predictive control: Moving an industrial PC-based MPC to an embedded platform. Optimal Control Applications & Methods, no. 5, SI, vol. 36, pp. 705-727, 2015.
  • Cataldo, Andrea – Perizzato, Andrea – Scattolini, Riccardo: Production scheduling of parallel machines with model predictive control. Control Engineering Practice, vol. 42, pp. 28-40, 2015.
  • Zhao, Haoran – Wu, Qiuwei – Guo, Qinglai – Sun, Hongbin – Xue, Yusheng: Distributed Model Predictive Control of a Wind Farm for Optimal Active Power Control-Part I: Clustering-Based Wind Turbine Model Linearization. IEEE Transactions on Sustainable Energy, no. 3, vol. 6, pp. 831-839, 2015.
  • Karelovic, Pablo – Putz, Eduardo – Cipriano, Aldo: A framework for hybrid model predictive control in mineral processing. Control Engineering Practice, vol. 40, pp. 1-12, 2015.
  • Combastel, Christophe: Zonotopes and Kalman observers: Gain optimality under distinct uncertainty paradigms and robust convergence. Automatica, vol. 55, pp. 265-273, 2015.
  • Matei, Ion – Somarakis, Christoforos – Baras, John S.: A Generalized Gossip Algorithm on Convex Metric Spaces. IEEE Transactions on Automatic Control, no. 5, vol. 60, pp. 1175-1187, 2015.
  • Matei, Ion – Baras, John S.: The Asymptotic Consensus Problem on Convex Metric Spaces. IEEE Transactions on Automatic Control, no. 4, vol. 60, pp. 907-921, 2015.
  • Lee, Dong Hwan – Joo, Young Hoon: On the Generalized Local Stability and Local Stabilization Conditions for Discrete-Time Takagi-Sugeno Fuzzy Systems. IEEE Transactions on Fuzzy Systems, no. 6, vol. 22, pp. 1654-1668, 2014.
  • Lucia, Sergio – Tatulea-Codrean, Alexandru – Schoppmeyer, Christian – Engell, Sebastian: An Environment for the Efficient Testing and Implementation of Robust NMPC. In 2014 IEEE Conference on Control Applications (cca), pp. 1843-1848, 2014.
  • Broderick, John A. – Tilbury, Dawn M. – Atkins, Ella M.: MODELING AND SCHEDULING OF MULTIPLE POWER SOURCES FOR A GROUND ROBOT. In 7th Annual Dynamic Systems and Control Conference, 2014, Vol 1, 2014.
  • Wang, L.-S. – Xu, H.-Z. – Zhang, M.-N. – Duan, H.-W.: Hybrid model predictive control application to automatic train operation. Tiedao Xuebao/Journal of the China Railway Society, no. 12, vol. 37, pp. 53-60, 2015.
  • Liniger, A. – Lygeros, J.: A viability approach for fast recursive feasible finite horizon path planning of autonomous RC cars. In Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, HSCC 2015, pp. 1-10, 2015.
  • Zhang, Y. – Zhang, Y. – Chen, L. – Xuan, B.: The active above-knee prosthesis gait control based on the EMPC. Lecture Notes in Electrical Engineering, vol. 336, pp. 395-403, 2015.
  • Bobiti, R. – Lazar, M.: A delta-sampling verification theorem for discrete-time, possibly discontinuous systems. In Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, HSCC 2015, pp. 140-148, 2015.
  • Liu, C. – Lu, H. – Chen, W.-H.: An explicit MPC for quadrotor trajectory tracking. In Chinese Control Conference, CCC, pp. 4055-4060, 2015.
  • Ji, Y. – Thomas, R.J. – Tong, L.: Probabilistic forecast of real-time LMP via multiparametric programming. In Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 2549-2556, 2015.
  • Stolze, P. – Karamanakos, P. – Kennel, R. – Manias, S. – Endisch, C.: Effective variable switching point predictive current control for ac low-voltage drives. International Journal of Control, no. 7, vol. 88, pp. 1366-1378, 2015.
  • Lesic, V. – Vasak, M. – Martincevic, A. – Gulin, M. – Starcic, A. – Novak, H.: Computer-Assisted Management of Building Climate and Microgrid with Model Predictive Control. International Journal of Computer, Electrical, Automation, Control and Information Engineering, no. 10, vol. 9, 2015.
  • Broderick, John A.: Energy and Mobility Management of a Ground Robot to Increase Operational Capacity. 2015.
  • Geyer, T. – Darivianakis, G. – van der Merwe, W.: Model predictive control of a STATCOM based on a modular multilevel converter in delta configuration. In Power Electronics and Applications (EPE'15 ECCE-Europe), 2015 17th European Conference on, pp. 1-10, 2015.
  • Suardi, A. – Kerrigan, E.C. – Constantinides, G.A.: Fast FPGA prototyping toolbox for embedded optimization. In Control Conference (ECC), 2015 European, pp. 2589-2594, 2015.
  • Bahram, M. – Aeberhard, M. – Wollherr, D.: Please take over! An analysis and strategy for a driver take over request during autonomous driving. In Intelligent Vehicles Symposium (IV), 2015 IEEE, pp. 913-919, 2015.
  • Peyrl, H. – Cortinovis, A.: Computationally efficient solution of a compressor load sharing problem using the alternating direction method of multipliers. In Control Conference (ECC), 2015 European, pp. 2309-2314, 2015.
  • Coogan, S.: Synthesis and Verification of Networked Systems with Applications to Transportation Networks. 2015.
  • Kalabic, U.: Reference governors: Theoretical Extensions and Practical Applications. 2015.
  • Demenkov, M.: Relay-type safeguarding regulator for MPC with unknown computational time. In Event-based Control, Communication, and Signal Processing (EBCCSP), 2015 International Conference on, pp. 1-4, 2015.
  • Avelin, A.: Process Modeling of Combustion and Digesters for On-line Applications. 2015.
  • Sankar, Gokul S. – Moase, William H. – Shekhar, Rohan C. – Broomhead, Timothy J. – Manzie, Chris: Towards systematic design of MPC to achieve time domain specifications. In Control Conference (AUCC), 2015 5th Australian, pp. 247-252, 2015.
  • Demenkov, M. – Filimonov, N.: Polyhedral barrier regulator design using non-monotonic Lyapunov function. In Proceedings of 2016 International Conference 'Stability and Oscillations of Nonlinear Control Systems' (Pyatnitskiy's Conference), STAB 2016, 2016.
  • Oravec, J. – Bakosova, M.: Software for efficient LMI-based robust MPC design. In Process Control (PC), 2015 20th International Conference on, pp. 272-277, 2015.
  • Oberdieck, R. – Diangelakis, N.A. – Papathanasiou, M.M. – Nascu, I. – Pistikopoulos, E.N.: POP - Parametric Optimization Toolbox. Industrial and Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Falconi, G.P. – Angelov, J. – Holzapfel, F.: Hexacopter outdoor flight test results using adaptive control allocation subject to an unknown complete loss of one propeller. In Conference on Control and Fault-Tolerant Systems, SysTol, pp. 373-380, 2016.
  • Pereira, A. – Althoff, M.: Overapproximative arm occupancy prediction for human-robot co-existence built from archetypal movements. In IEEE International Conference on Intelligent Robots and Systems, pp. 1394-1401, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Trodden, Paul: A One-Step Approach to Computing a Polytopic Robust Positively Invariant Set. IEEE Transactions on Automatic Control, no. 12, vol. 61, pp. 4100-4105, 2016.
  • Adelgren, Nathan – Wiecek, Margaret M.: A two-phase algorithm for the multiparametric linear complementarity problem. European Journal of Operational Research, no. 3, vol. 254, pp. 715-738, 2016.
  • Leverenz, Jonathon – Xu, Meng – Wiecek, Margaret M.: Multiparametric optimization for multidisciplinary engineering design. Structural and Multidisciplinary Optimization, no. 4, vol. 54, pp. 795-810, 2016.
  • Carpiuc, Sabin-Constantin – Lazar, Corneliu: Real-Time Multi-Rate Predictive Cascade Speed Control of Synchronous Machines in Automotive Electrical Traction Drives. IEEE Transactions on Industrial Electronics, no. 8, vol. 63, pp. 5133-5142, 2016.
  • Hernandez-Mejias, Manuel A. – Sala, Antonio – Arino, Carlos – Querol, Andres: Reliable controllable sets for constrained Markov-Jump Linear Systems. International Journal of Robust and Nonlinear Control, no. 10, vol. 26, pp. 2075-2089, 2016.
  • Nilsson, Petter – Hussien, Omar – Balkan, Ayca – Chen, Yuxiao – Ames, Aaron D. – Grizzle, Jessy W. – Ozay, Necmiye – Peng, Huei – Tabuada, Paulo: Correct-by-Construction Adaptive Cruise Control: Two Approaches. IEEE Transactions on Control Systems Technology, no. 4, vol. 24, pp. 1294-1307, 2016.
  • Xu, Jun – van den Boom, Ton J. J. – De Schutter, Bart – Luo, Xiong-Lin: Minimal Conjunctive Normal Expression of Continuous Piecewise Affine Functions. IEEE Transactions on Automatic Control, no. 5, vol. 61, pp. 1340-1345, 2016.
  • Alexis, Kostas – Darivianakis, Georgios – Burri, Michael – Siegwart, Roland: Aerial robotic contact-based inspection: planning and control. Autonomous Robots, no. 4, vol. 40, pp. 631-655, 2016.
  • Bucher, Matthias A. – Chatzivasileiadis, Spyridon – Andersson, Goeran: Managing Flexibility in Multi-Area Power Systems. IEEE Transactions on Power Systems, no. 2, vol. 31, pp. 1218-1226, 2016.
  • Papachristos, Christos – Alexis, Kostas – Tzes, Anthony: Dual-Authority Thrust-Vectoring of a Tri-TiltRotor employing Model Predictive Control. Journal of Intelligent & Robotic Systems, no. 3-4, vol. 81, pp. 471-504, 2016.
  • Shintemirov, Almas – Niyetkaliyev, Aibek – Rubagotti, Matteo: Numerical Optimal Control of a Spherical Parallel Manipulator Based on Unique Kinematic Solutions. IEEE-asme Transactions on Mechatronics, no. 1, vol. 21, pp. 98-109, 2016.
  • Filippidis, Ioannis – Dathathri, Sumanth – Livingston, Scott C. – Ozay, Necmiye – Murray, Richard M.: Control design for hybrid systems with TuLiP: The temporal logic planning toolbox. In 2016 IEEE Conference on Control Applications (cca), 2016.
  • Han, Dongkun – Rizaldi, Albert – El-Guindy, Ahmed – Althoff, Matthias: On Enlarging Backward Reachable Sets via Zonotopic Set Membership. In 2016 IEEE International Symposium on Intelligent Control (isic), pp. 685-692, 2016.
  • Popescu, Dan – Stoican, Florin – Ichim, Loretta: Control and Optimization of UAV Trajectory for Aerial Coverage in Photogrammetry Applications. Advances in Electrical and Computer Engineering, no. 3, vol. 16, pp. 99-106, 2016.
  • Vignali, Riccardo – Prandini, Maria: Model reduction of discrete time hybrid systems: A structural approach based on observability. In Proceedings of the 2016 Workshop on Symbolic and Numerical Methods for Reachability Analysis (snr), 2016.
  • Lefevre, Stephanie – Carvalho, Ashwin – Borrelli, Francesco: A Learning-Based Framework for Velocity Control in Autonomous Driving. IEEE Transactions on Automation Science and Engineering, no. 1, vol. 13, pp. 32-42, 2016.
  • Zegard, Tomas – Paulino, Glaucio H.: GRAND3-Ground structure based topology optimization for arbitrary 3D domains using MATLAB. Structural and Multidisciplinary Optimization, no. 6, vol. 52, pp. 1161-1184, 2015.
  • Giselsson, Pontus – Boyd, Stephen: Metric selection in fast dual forward-backward splitting. Automatica, vol. 62, pp. 1-10, 2015.
  • Chachuat, Benoit – Houska, Boris – Paulen, Radoslav – Peric, Nikola – Rajyaguru, Jai – Villanueva, Mario E.: Set-Theoretic Approaches in Analysis, Estimation and Control of Nonlinear Systems. Ifac Papersonline, no. 8, vol. 48, pp. 981-995, 2015.
  • Oravec, Juraj – Bakosova, Monika – Meszaros, Alajos – Mikova, Nikola: Experimental investigation of alternative robust model predictive control of a heat exchanger. Applied Thermal Engineering, no. SI, vol. 105, pp. 774-782, 2016.
  • Coogan, Samuel – Gol, Ebru Aydin – Arcak, Murat – Belta, Calin: Traffic Network Control From Temporal Logic Specifications. IEEE Transactions on Control of Network Systems, no. 2, vol. 3, pp. 162-172, 2016.
  • Takacs, Gergely – Batista, Gabriel – Gulan, Martin – Rohaľ-Ilkiv, B.: Embedded explicit model predictive vibration control. Mechatronics, vol. 36, pp. 54-62, 2016.
  • Seyboth, Georg S. – Ren, Wei – Allgoewer, Frank: Cooperative control of linear multi-agent systems via distributed output regulation and transient synchronization. Automatica, vol. 68, pp. 132-139, 2016.
  • Ngoc Anh Nguyen – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – Bitsoris, George – Hovd, Morten: Explicit robustness and fragility margins for linear discrete systems with piecewise affine control law. Automatica, vol. 68, pp. 334-343, 2016.
  • Suardi, Andrea – Longo, Stefano – Kerrigan, Eric C. – Constantinides, George A.: Explicit MPC: Hard constraint satisfaction under low precision arithmetic. Control Engineering Practice, vol. 47, pp. 60-69, 2016.
  • Bolognani, Saverio – Dorfler, Florian: Fast Scenario-based Decision Making in Unbalanced Distribution Networks. In 2016 Power Systems Computation Conference (pscc), 2016.
  • Petkar, Sharmila J. – Gupta, Ankit A. – Ketkar, Vishwanath D. – Kazi, Faruk S.: Robust Model Predictive Control of PVTOL Aircraft. Ifac Papersonline, no. 1, vol. 49, pp. 760-765, 2016.
  • Xu, Jun – van den Boom, Ton J. J. – De Schutter, Bart – Wang, Shuning: Irredundant lattice lattice representations of continuous piecewise affine functions. Automatica, vol. 70, pp. 109-120, 2016.
  • Šikšnys, L. – Pedersen, T.B.: Dependency-based flexoffers: Scalable management of flexible loads with dependencies. In Proceedings of the 7th International Conference on Future Energy Systems, e-Energy 2016, 2016.
  • Novoselnik, B. – Baotic, M.: Coordinated microgrid control via parametric optimization. In 2016 IEEE International Energy Conference, ENERGYCON 2016, 2016.
  • Rubagotti, M. – Zaccarian, L. – Bemporad, A.: A Lyapunov method for stability analysis of piecewise-affine systems over non-invariant domains. International Journal of Control, no. 5, vol. 89, pp. 950-959, 2016.
  • Athanasopoulos, N. – Jungers, R.M.: Computing the domain of attraction of switching systems subject to non-convex constraints. In HSCC 2016 - Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, pp. 41-50, 2016.
  • Khatib, M.A. – Girard, A. – Dang, T.: Verification and synthesis of timing contracts for embedded controllers. In HSCC 2016 - Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, pp. 115-124, 2016.
  • Ferranti, L. – Keviczky, T.: A parallel dual fast gradient method for MPC applications. In Proceedings of the IEEE Conference on Decision and Control, pp. 2406-2413, 2016.
  • Brunner, F.D. – Gommans, T.M.P. – Heemels, W.P.M.H. – Allgöwer, F.: Resource-aware set-valued estimation for discrete-time linear systems. In Proceedings of the IEEE Conference on Decision and Control, pp. 5480-5486, 2016.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P.: Inverse parametric linear/quadratic programming problem for continuous PWA functions defined on polyhedral partitions of polyhedra. In Proceedings of the IEEE Conference on Decision and Control, pp. 5920-5925, 2016.
  • Takács, G. – Zometa, P. – Findeisen, R. – Rohal-Ilkiv, B.: Embedded model predictive vibration control on low-end 8-bit microcontrollers via automatic code generation. In ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics, 2016.
  • Kögel, M. – Findeisen, R.: Output feedback MPC with send-on-delta measurements for uncertain systems. IFAC-PapersOnLine, no. 22, vol. 49, pp. 145-150, 2016.
  • Chao, H. – Chen, X. – Zhang, Y. – Qin, S. – Yifeng, Z. – Li, X.: Hierarchical model predictive control for multi-robot navigation. In IJCAI International Joint Conference on Artificial Intelligence, pp. 3140-3146, 2016.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P.: On the complexity of the convex liftings-based solution to inverse parametric convex programming problems. In 2015 European Control Conference, ECC 2015, pp. 3428-3433, 2015.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P.: Recognition of additively weighted Voronoi diagrams and weighted Delaunay decompositions. In 2015 European Control Conference, ECC 2015, pp. 328-333, 2015.
  • Aydiner, E. – Brunner, F.D. – Heemels, W.P.M.H. – Allgower, F.: Robust self-triggered model predictive control for constrained discrete-time LTI systems based on homothetic tubes. In 2015 European Control Conference, ECC 2015, pp. 1587-1593, 2015.
  • Lucia, Sergio – Tatulea-Codrean, Alexandru – Schoppmeyer, Christian – Engell, Sebastian: Rapid development of modular and sustainable nonlinear model predictive control solutions. Control Engineering Practice, vol. 60, pp. 51-62, 2017.
  • Wiecek, Margaret M. – Garrett M. Dranichak: Robust Multiobjective Optimization for Decision Making Under Uncertainty and Conflict." Optimization Challenges in Complex, Networked and Risky Systems. In INFORMS, 2016.
  • Brunner, Florian D. – Matthias A. Müller – Frank Allgöwer: Enhancing output feedback MPC for linear discrete-time systems with set-valued moving horizon estimation. IEEE, In Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016.
  • Koehler, Sarah: Stable hybrid Model Predictive Control for ramp metering. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on, 2016.
  • Lucia, Walter – Bruno Sinopoli – Giuseppe Franze: A set-theoretic approach for secure and resilient control of Cyber-Physical Systems subject to false data injection attacks. In Cyber-Physical Systems Workshop (SOSCYPS), Science of Security for, 2016.
  • Al Khatib, Mohammad – Antoine Girard – Thao Dang: Stability verification and timing contract synthesis for linear impulsive systems using reachability analysis. In Nonlinear Analysis: Hybrid Systems, 2016.
  • Le Coënt, Adrien: Control of mechanical systems using set based methods. International Journal of Dynamics and Control, pp. 1-17, 2016.
  • Ahmadi-Moshkenani, Parisa – Tor Arne Johansen – Sorin Olaru: On degeneracy in exploration of combinatorial tree in multi-parametric quadratic programming. In Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016.
  • Saback, R. – Cesar, D. – Arnold, S. – Lepikson, H. – Santos, T. – Albiez, J.: Fault-tolerant control allocation technique based on explicit optimization applied to an autonomous underwater vehicle. In OCEANS 2016 MTS/IEEE Monterey, 2016.
  • Lorenzen, M. – Dabbene, F. – Tempo, R. – Allgöwer, F.: Stochastic MPC with Offline Uncertainty Sampling. arXiv preprint arXiv:1606.06056, 2016.
  • Brunner, F. D. – Allgöwer, F.: A Lyapunov Function Approach to the Event-triggered Stabilization of the Minimal Robust Positively Invariant Set. In IFAC-PapersOnLine, 49(22), pp. 25-30, 2016.
  • Nielsen, I. – Axehill, D.: Reduced Memory Footprint in Multiparametric Quadratic Programming by Exploiting Low Rank Structure. arXiv preprint arXiv:1603.05034, 2016.
  • Hernández‐Mejías, Manuel A. – Antonio Sala: Reliability and time‐to‐failure bounds for discrete‐time constrained Markov jump linear systems. International Journal of Robust and Nonlinear Control, 2016.
  • Brunner, F. D. – Bayer, F. A. – Allgöwer, F.: Robust steady state optimization for polytopic systems. IEEE, In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 4084-4089, 2016.
  • Siaulys, K. – Maciejowski, J. M.: Verification of model predictive control laws using weispfenning's quantifier elimination by virtual substitution algorithm. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 1452-1457, 2016.
  • Brunner, F. D. – Heemels, W. P. M. H. – Allgöwer, F.: γ-invasive event-triggered and self-triggered control for perturbed linear systems. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 1346-1351, 2016.
  • Liu, Y. – Xie, Y. – Bao, C. – Srivastava, A.: An optimization-theoretic approach for attacking physical unclonable functions. In Proceedings of the 35th International Conference on Computer-Aided Design, pp. 45-45, 2016.
  • Prodan, I. – Stoican, F. – Olaru, S. – Niculescu, S. I.: Non-convex Region Description by Hyperplane Arrangements. Springer International Publishing, In Mixed-Integer Representations in Control Design, pp. 11-34, 2016.
  • Boisseau, B. – Martinez, J. J. – Raharijaona, T. – Durand, S. – Marchand, N.: Event‐switched control design with guaranteed performances. International Journal of Robust and Nonlinear Control, 2016.
  • Bridgeman, L. J. – Danielson, C. – Di Cairano, S.: Stability and feasibility of MPC for switched linear systems with dwell-time constraints. In American Control Conference, pp. 2681-2686, 2016.
  • Bucher, M. A.: On Operational Flexibility in Transmission Constrained Electric Power Systems. 2016.
  • Jerčić, T. – Ileš, S. – Žarko, D. – Matuško, J.: Current reference governor of permanent magnet synchronous machine. In Electrical Machines (ICEM), 2016 XXII International Conference on, pp. 1022-1028, 2016.
  • Koduri, R. – Rodriguez-Ayerbe, P. – Olaru, S. – Hovd, M.: Explicit robustness margin for contractive piecewise affine control laws. In System Theory, Control and Computing (ICSTCC), 2016 20th International Conference on, pp. 806-811, 2016.
  • Ogasahara, T. – Hovd, M. – Asano, K.: Explicit Model Predictive Controller Design for Thickness and Tension Control in a Cold Rolling Mill. In IFAC-PapersOnLine, 49(20), pp. 126-131, 2016.
  • Brunner, F. D. – Heemels, W. P. M. H. – Allgöwer, F.: Numerical Evaluation of a Robust Self-Triggered MPC Algorithm. In IFAC-PapersOnLine, 49(22), pp. 151-156, 2016.
  • Pant, Y. V. – Abbas, H. – Mangharam, R.: Tech Report: Robust Model Predictive Control for Non-Linear Systems with Input and State Constraints Via Feedback Linearization. 2016.
  • Pant, Y. V. – Abbas, H. – Mangharam, R.: Robust model predictive control for non-linear systems with input and state constraints via feedback linearization. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 5694-5699, 2016.
  • Seyboth, G.: On Distributed and Cooperative Control Design for Networks of Dynamical Systems, Logos Verlag Berlin GmbH, 2016.
  • HomChaudhuri, B. – Vinod, A. P. – Oishi, M. M.: Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. arXiv preprint arXiv:1610.03472, 2016.
  • Nguyen, N. A.: Convex Liftings: Theory and Control Applications. 2016.
  • Koduri, R. – Rodriguez-Ayerbe, P. – Olaru, S.: Robustness margin for piecewise affine explicit control law. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 2327-2332, 2016.
  • Villanueva, M. E.: Set-Theoretic Methods for Analysis, Estimation and Control of Nonlinear Systems. 2016.
  • Garg, A.: Optimization and Design for Automation of Brachytherapy Delivery and Learning Robot-Assisted Surgical Sub-Tasks. 2016.
  • Holden, T.: Existence, uniqueness and computation of solutions to dynamic models with occasionally binding constraints. 2016.
  • Cosson, M.: Stabilité du réseau électrique de distribution. Analyse du point de vue automatique d'un système complexe. 2016.
  • Franzè, G. – Lucia, W.: A set-theoretic control architecture for constrained switching systems. In American Control Conference, pp. 685-690, 2016.
  • Nguyen, M. T.: ommande prédictive sous contraintes de sécurité pour des systèmes dynamiques Multi-Agents. 2016.
  • Dötlinger, A. M.: Near Minimum-Time Predictive Reference Governors for Mechatronic Drive Systems. 2016.
  • Mejías, M. A. H.: Predictivo Basado en Escenarios para Sistemas Lineales con Saltos Markovianos. 2016.
  • Sala, A. – Hernández-Mejías, M. – Ariño, C.: Stable receding-horizon scenario predictive control for Markov-jump linear systems. Automatica, vol. 86, pp. 121-128, 2017.
  • Wei, C. – Luo, J. – Dai, H. – Yin, Z. – Ma, W. – Yuan, J.: Globally robust explicit model predictive control of constrained systems exploiting SVM-based approximation. International Journal of Robust and Nonlinear Control, no. 16, vol. 27, pp. 3000-3027, 2017.
  • Brunner, F.D. – Heemels, W.P.M.H. – Allgower, F.: Robust Event-Triggered MPC with Guaranteed Asymptotic Bound and Average Sampling Rate. IEEE Transactions on Automatic Control, no. 11, vol. 62, pp. 5694-5709, 2017.
  • Massera Filho, C. – Terra, M.H. – Wolf, D.F.: Safe Optimization of Highway Traffic with Robust Model Predictive Control-Based Cooperative Adaptive Cruise Control. IEEE Transactions on Intelligent Transportation Systems, no. 11, vol. 18, pp. 3193-3203, 2017.
  • Boisseau, B. – Martinez, J.J. – Raharijaona, T. – Durand, S. – Marchand, N.: Event-switched control design with guaranteed performances. International Journal of Robust and Nonlinear Control, no. 15, vol. 27, pp. 2492-2509, 2017.
  • Liu, C. – Gao, J. – Li, H. – Xu, D.: Robust self-triggered min-max model predictive control for linear discrete-time systems. In Chinese Control Conference, CCC, pp. 4512-4516, 2017.
  • Liu, Peng – Ozguner, Umit – Zhang, Yeqing: Distributed MPC for cooperative highway driving and energy-economy validation via microscopic simulations. Transportation Research Part C-emerging Technologies, vol. 77, pp. 80-95, 2017.
  • Goebel, G. – Allgöwer, F.: Semi-explicit MPC based on subspace clustering. Automatica, vol. 83, pp. 309-316, 2017.
  • Megel, O. – Mathieu, J.L. – Andersson, G.: Hybrid Stochastic-Deterministic Multiperiod DC Optimal Power Flow. IEEE Transactions on Power Systems, no. 5, vol. 32, pp. 3934-3945, 2017.
  • Hempel, A.B. – Goulart, P.J. – Lygeros, J.: Strong Stationarity Conditions for Optimal Control of Hybrid Systems. IEEE Transactions on Automatic Control, no. 9, vol. 62, pp. 4512-4526, 2017.
  • Sketch, S.M. – Simpson, C.S. – Crevecoeur, F. – Okamura, A.M.: Simulating the impact of sensorimotor deficits on reaching performance. In IEEE International Conference on Rehabilitation Robotics, pp. 31-37, 2017.
  • Mandic, T. – Gillon, R. – Baric, A.: Optimization of IC-Stripline Performance by Response Surface Space-Mapping Technique. IEEE Transactions on Electromagnetic Compatibility, no. 4, vol. 59, pp. 1232-1238, 2017.
  • Al Khatib, M. – Girard, A. – Dang, T.: Stability verification and timing contract synthesis for linear impulsive systems using reachability analysis. Nonlinear Analysis: Hybrid Systems, vol. 25, pp. 211-226, 2017.
  • Jalalmaab, M. – Fidan, B. – Jeon, S. – Falcone, P.: Guaranteeing persistent feasibility of model predictive motion planning for autonomous vehicles. In IEEE Intelligent Vehicles Symposium, Proceedings, pp. 843-848, 2017.
  • Akkinapalli, V.S. – Falconi, G.P. – Holzapfel, F.: Fault tolerant incremental attitude control using online parameter estimation for a multicopter system. In 2017 25th Mediterranean Conference on Control and Automation, MED 2017, pp. 454-460, 2017.
  • Nguyen, N.T. – Prodan, I. – Lefevre, L.: Multi-layer optimization-based control design for quadcopter trajectory tracking. In 2017 25th Mediterranean Conference on Control and Automation, MED 2017, pp. 601-606, 2017.
  • Vrakopoulou, M. – Hiskens, I.A.: Optimal policy-based control of generation and HVDC lines in power systems under uncertainty. In 2017 IEEE Manchester PowerTech, Powertech 2017, 2017.
  • Hernández-Mejías, M.A. – Sala, A.: Reliability and time-to-failure bounds for discrete-time constrained Markov jump linear systems. International Journal of Robust and Nonlinear Control, no. 10, vol. 27, pp. 1773-1791, 2017.
  • Koduri, R. – Olaru, S. – Rodriguez-Ayerbe, P.: Sensitivity of Piecewise Control Laws with Respect to Perturbation of the State-Space Partition. In Proceedings - 2017 21st International Conference on Control Systems and Computer, CSCS 2017, pp. 13-18, 2017.
  • Kontouras, E. – Tzes, A. – Dritsas, L.: Impact Analysis of a Bias Injection Cyber-Attack on a Power Plant. IFAC-PapersOnLine, no. 1, vol. 50, pp. 11094-11099, 2017.
  • Lorenzen, M. – Dabbene, F. – Tempo, R. – Allgöwer, F.: Stochastic MPC with offline uncertainty sampling. Automatica, vol. 81, pp. 176-183, 2017.
  • Krank, F. – Mayer, A. – Schaper, U. – Arnold, E. – Sawodny, O.: Ip2go: An Interior Point Source Code Generator for Solving Linear-Quadratic Optimal Control Problems. IFAC-PapersOnLine, no. 1, vol. 50, pp. 10632-10637, 2017.
  • Kögel, M. – Findeisen, R.: Robust output feedback MPC for uncertain linear systems with reduced conservatism. IFAC-PapersOnLine, no. 1, vol. 50, pp. 10685-10690, 2017.
  • Lorenzen, M. – Dabbene, F. – Tempo, R. – Allgower, F.: Constraint-Tightening and Stability in Stochastic Model Predictive Control. IEEE Transactions on Automatic Control, no. 7, vol. 62, pp. 3165-3177, 2017.
  • Görges, D.: Relations between Model Predictive Control and Reinforcement Learning. IFAC-PapersOnLine, no. 1, vol. 50, pp. 4920-4928, 2017.
  • Kontouras, E. – Tzes, A. – Dritsas, L.: Cyber-attack on a power plant using bias injected measurements. In Proceedings of the American Control Conference, pp. 5507-5512, 2017.
  • Wang, H. – Kolmanovsky, I. – Sun, J.: Zonotope-based set-membership parameter identification of linear systems with additive and multiplicative uncertainties: A new algorithm. In Proceedings of the American Control Conference, pp. 1481-1486, 2017.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P. – Gulan, M.: Construction of convex liftings based on halfspace representation. In Proceedings of the American Control Conference, pp. 3048-3053, 2017.
  • Matei, I. – Baras, J.S.: Reachability analysis for linear hybrid set-dynamics driven by random convex compact sets. In Proceedings of the American Control Conference, pp. 1765-1770, 2017.
  • Homchaudhuri, B. – Vinod, A.P. – Oishi, M.M.K.: Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. In Proceedings of the American Control Conference, pp. 4404-4411, 2017.
  • Nguyen, N.A.: Stochastic control based on convex lifting. In Proceedings of the American Control Conference, pp. 412-417, 2017.
  • Rathai, K.M.M. – Amirthalingam, J. – Jayaraman, B.: Robust tube-MPC based lane keeping system for autonomous driving vehicles. In ACM International Conference Proceeding Series, 2017.
  • Bruschetta, M. – Maran, F. – Beghi, A.: A fast implementation of MPC-based motion cueing algorithms for mid-size road vehicle motion simulators. Vehicle System Dynamics, no. 6, vol. 55, pp. 802-826, 2017.
  • Hofmann, A.G. – Williams, B.C.: Temporally and spatially flexible plan execution for dynamic hybrid systems. Artificial Intelligence, vol. 247, pp. 266-294, 2017.
  • Zamani, M. – Rungger, M. – Esfahani, P.M.: Approximations of Stochastic Hybrid Systems: A Compositional Approach. IEEE Transactions on Automatic Control, no. 6, vol. 62, pp. 2838-2853, 2017.
  • Johansen, T.A.: Toward Dependable Embedded Model Predictive Control. IEEE Systems Journal, no. 2, vol. 11, pp. 1208-1219, 2017.
  • Xie, L.-T. – Xie, L. – Su, H.-Y.: A Comparative Study on Algorithms of Robust and Stochastic MPC for Uncertain Systems. Zidonghua Xuebao/Acta Automatica Sinica, no. 6, vol. 43, pp. 969-992, 2017.
  • Young, P. – Preindl, M.: Optimal generalized overmodulation for multiphase PMSM drives. In Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, pp. 500-505, 2017.
  • Marseglia, G.R. – Raimondo, D.M.: Active fault diagnosis: A multi-parametric approach. Automatica, vol. 79, pp. 223-230, 2017.
  • Goebel, G. – Allgöwer, F.: New results on semi-explicit and almost explicit MPC algorithms. At-Automatisierungstechnik, no. 4, vol. 65, pp. 245-259, 2017.
  • Vinod, A.P. – Baisravan – Oishi, M.M.K.: Forward stochastic reachability analysis for uncontrolled linear systems using fourier transforms. In HSCC 2017 - Proceedings of the 20th International Conference on Hybrid Systems: Computation and Control (part of CPS Week), pp. 35-44, 2017.
  • Coogan, S. – Arcak, M. – Belta, C.: Formal Methods for Control of Traffic Flow: Automated Control Synthesis from Finite-State Transition Models. IEEE Control Systems, no. 2, vol. 37, pp. 109-128, 2017.
  • Dunham, W.D. – Seok, J. – Chen, W. – Dai, E. – Kolmanovsky, I. – Girard, A.: Control of Gear Ratio and Slip in Continuously Variable Transmissions: A Model Predictive Control Approach. SAE Technical Papers, no. March, vol. 2017-March, 2017.
  • Daniart, S. – Wardana, A.N.I. – Rosita, W.: Performance evaluation of compressor anti-surge control based on model predictive in ammonia plant. In Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016, pp. 75-79, 2017.
  • Omarali, B. – Taunyazov, T. – Bukeyev, A. – Shintemirov, A.: Real-time predictive control of an ur5 robotic arm through human upper limb motion tracking. In ACM/IEEE International Conference on Human-Robot Interaction, pp. 237-238, 2017.
  • Airan, A. – Bhushan, M. – Bhartiya, S.: Linear Machine Solution to Point Location Problem. IEEE Transactions on Automatic Control, no. 3, vol. 62, pp. 1403-1410, 2017.
  • Ji, Y. – Thomas, R.J. – Tong, L.: Probabilistic Forecasting of Real-Time LMP and Network Congestion. IEEE Transactions on Power Systems, no. 2, vol. 32, pp. 831-841, 2017.
  • Geng, X. – Xie, L.: Learning the LMP-Load Coupling from Data: A Support Vector Machine Based Approach. IEEE Transactions on Power Systems, no. 2, vol. 32, pp. 1127-1138, 2017.
  • Assis, P.A.Q. – Galvão, R.K.H.: Sliding mode predictive control of a magnetic levitation system employing multi-parametric programming. IEEE Latin America Transactions, no. 2, vol. 15, pp. 239-248, 2017.
  • Darup, M.S. – Cannon, M.: Some observations on the activity of terminal constraints in linear MPC. In 2016 European Control Conference, ECC 2016, pp. 770-775, 2017.
  • Vadamalu, R.S. – Beidl, C.: Explicit MPC PHEV energy management using Markov chain based predictor: Development and validation at Engine-In-The-Loop testbed. In 2016 European Control Conference, ECC 2016, pp. 453-458, 2017.
  • Ahmadi-Moshkenani, P. – Olaru, S. – Johansen, T.A.: Further results on the exploration of combinatorial tree in multi-parametric quadratic programming. In 2016 European Control Conference, ECC 2016, pp. 116-122, 2017.
  • Takács, G. – Zometa, P. – Findeisen, R. – Rohaľ-Ilkiv, B.: Efficiency and performance of embedded model predictive control for active vibration attenuation. In 2016 European Control Conference, ECC 2016, pp. 1334-1340, 2017.
  • Brunner, F.D. – Heemels, W.P.M.H. – Allgöwer, F.: Dynamic thresholds in robust event-triggered control for discrete-time linear systems. In 2016 European Control Conference, ECC 2016, pp. 983-988, 2017.
  • Zhu, F. – Chen, W. – Yang, H. – Li, T. – Yang, T. – Zhang, F.: A Quick Negative Selection Algorithm for One-Class Classification in Big Data Era. Mathematical Problems in Engineering, no. 3956415, vol. 2017, 2017.
  • Lasheen, A. – Saad, M.S. – Emara, H.M. – Elshafei, A.L.: Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines. Energy, vol. 118, pp. 1222-1233, 2017.
  • Barot, S. – Taylor, J.A.: A concise, approximate representation of a collection of loads described by polytopes. International Journal of Electrical Power and Energy Systems, vol. 84, pp. 55-63, 2017.
  • Seok, J. – Kolmanovsky, I. – Girard, A.: Coordinated model predictive control of aircraft gas turbine engine and power system. Journal of Guidance, Control, and Dynamics, no. 10, vol. 40, pp. 2538-2555, 2017.
  • van Aalst, S. – Boulkroune, B. – Dixit, S. – Grubmüller, S. – De Smet, J. – Sannen, K. – De Nijs, W.: Semi-autonomous driving based on optimized speed profile. SpringerBriefs in Applied Sciences and Technology, no. 9783319531649, pp. 19-37, 2017.
  • Zagaris, C. – Romano, M.: Analysis of spacecraft planar docking with rotating body in close proximity. In Advances in the Astronautical Sciences, pp. 1079-1092, 2017.
  • Torchio, M. – Magni, L. – Braatz, R.D. – Raimondo, D.M.: Design of piecewise affine and linear time-varying model predictive control strategies for advanced battery management systems. Journal of the Electrochemical Society, no. 4, vol. 164, pp. A949-A959, 2017.
  • Kujundzic, Goran – Iles, Sandor – Matusko, Jadranko – Vasak, Mario: Optimal charging of valve-regulated lead-acid batteries based on model predictive control. Applied Energy, vol. 187, pp. 189-202, 2017.
  • Coogan, Samuel – Arcak, Murat: Finite abstraction of mixed monotone systems with discrete and continuous inputs. Nonlinear Analysis-hybrid Systems, vol. 23, pp. 254-271, 2017.
  • Stickan, Benjamin – Reichert, Stefan – Diehl, Moritz: Model Predictive Control of a 3-Phase Grid-Connected B6-Inverter with LCL-Filter in abc-Coordinates. In 2017 19th European Conference on Power Electronics and Applications (epe'17 ECCe Europe), 2017.
  • Balint, Roland – Fodor, Attila – Hangos, Katalin M. – Magyar, Attila: Cost-optimal model predictive scheduling of freezers. Control Engineering Practice, vol. 80, pp. 61-69, 2018.
  • Liu, Shiqi – Bin, Yang – Li, Yaoyu – Scheppat, Birgit: Hierarchical MPC Control Scheme for Fuel Cell Hybrid Electric Vehicles. Ifac Papersonline, no. 31, vol. 51, pp. 646-652, 2018.
  • Warrington, Joseph – Beuchat, Paul N – Lygeros, John: Generalized Dual Dynamic Programming for Infinite Horizon Problems in Continuous State and Action Spaces. arXiv preprint arXiv:1711.07222, 2000.
  • Nguyen, Ngoc Anh – Gulan, Martin – Olaru, Sorin – Rodriguez-Ayerbe, Pedro: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, 2017.
  • Al Khatib, Mohammad – Girard, Antoine – Dang, Thao: Self-Triggered Control for Sampled-data Systems using Reachability Analysis. IFAC-PapersOnLine, no. 1, vol. 50, pp. 7881--7886, 2017.
  • Askari, Masood – Moghavvemi, Mahmoud – Almurib, Haider Abbas F – Haidar, Ahmed MA: Stability of Soft-Constrained Finite Horizon Model Predictive Control. IEEE Transactions on Industry Applications, no. 6, vol. 53, pp. 5883--5892, 2017.
  • Pereira, Aaron – Althoff, Matthias: Overapproximative, Real-Time Human Arm Occupancy Prediction for Human-Robot Interaction. IEEE Transactions on Robotics, no. 2, vol. 15, pp. 818--831, 2000.
  • Benamou, Jean-David – Froese, Brittany D: 8 Weak Monge--Ampere solutions of the semi-discrete optimal transportation problem. Topological Optimization and Optimal Transport: In the Applied Sciences, vol. 17, pp. 175, 2017.
  • Le Coent, Adrien – De Vuyst, Florian – Rey, Christian – Chamoin, Ludovic – Fribourg, Laurent: Control of mechanical systems using set based methods. International Journal of Dynamics and Control, no. 3, vol. 5, pp. 496--512, 2017.
  • Hansen, Andreas – Li, Yutong – Hedrick, J Karl: Invariant sliding domains for constrained linear receding horizon tracking control. IFAC Journal of Systems and Control, vol. 2, pp. 12--17, 2017.
  • Mohammadkhani, Mohammadali – Bayat, Farhad – Jalali, Ali Akbar: Robust Output Feedback Model Predictive Control: A Stochastic Approach. Asian Journal of Control, no. 6, vol. 19, pp. 2085--2096, 2017.
  • Gleason, Joseph D – Vinod, Abraham P – Oishi, Meeko – others: Underapproximation of Reach-Avoid Sets for Discrete-Time Stochastic Systems via Lagrangian Methods. arXiv preprint arXiv:1704.03555, 2000.
  • Farina, Marcello – Zhang, Xinglong – Scattolini, Riccardo: A hierarchical multirate MPC scheme for interconnected systems - extended version . arXiv preprint arXiv:1705.08818, 2000.
  • Yousefi, Mahdi – van Heusden, Klaske – Mitchell, Ian M – Ansermino, J Mark – Dumont, Guy A: A formally-verified safety system for closed-loop anesthesia. IFAC-PapersOnLine, no. 1, vol. 50, pp. 4424--4429, 2017.
  • Persson, Linnea – Wahlberg, Bo: Verification of Cooperative Maneuvers in FlightGear using MPC and Backwards Reachable Sets. In 2018 European Control Conference (ECC), pp. 1411--1416, 2018.
  • Eilbrecht, Jan – Stursberg, Olaf: Optimization-Based Maneuver Automata for Cooperative Trajectory Planning of Autonomous Vehicles. In 2018 European Control Conference (ECC), pp. 82--88, 2018.
  • Zhong, Qian – Yeung, Ronald W: An Efficient Convex Formulation for Model-Predictive Control on Wave-Energy Converters. Journal of Offshore Mechanics and Arctic Engineering, no. 3, vol. 140, pp. 031901, 2018.
  • Rubin, Daniel – Mercader, Pedro – Nguyen, Hoai-Nam – Gutman, Per-Olof – Banos, Alfonso: Improvements on Interpolation Techniques based on Linear Programming for Constrained Control. IFAC-PapersOnLine, no. 1, vol. 50, pp. 1403--1408, 2017.
  • Pek, Christian – Althoff, Matthias: Efficient Computation of Invariably Safe States for Motion Planning of Self-driving Vehicles. In Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems, 2018.
  • Xiang, Weiming – Tran, Hoang-Dung – Johnson, Taylor T: Reachable Set Computation and Safety Verification for Neural Networks with ReLU Activations. arXiv preprint arXiv:1712.08163, 2000.
  • Bolognani, Saverio – Arcari, Elena – Dorfler, Florian: A Fast Method for Real-Time Chance-Constrained Decision With Application to Power Systems. IEEE Control Systems Letters, no. 1, vol. 1, pp. 152--157, 2017.
  • Simon, Daniel: Fighter Aircraft Maneuver Limiting Using MPC: Theory and Application, vol. 1881, 2017.
  • Li, Ben: Exact values of quantum violations in low-dimensional Bell correlation inequalities. arXiv preprint arXiv:1712.08506, 2000.
  • Berkel, Felix – Watkins, Benjamin – Liu, Steven – Gorges, Daniel: Output-Based Event-Triggered Model Predictive Control for Networked Control Systems. IFAC-PapersOnLine, no. 1, vol. 50, pp. 8951--8956, 2017.
  • Le, Minh-Hoang – Ploix, Stephane: Sensibility and Uncertainties Analysis method dedicated to home energy management problem. Building Services Engineering Research and Technology, pp. 0143624417731298, 2017.
  • Nguyen, Ngoc Thinh – Prodan, Ionela – Stoican, Florin – Lefevre, Laurent: Reliable nonlinear control for quadcopter trajectory tracking through differential flatness. IFAC-PapersOnLine, no. 1, vol. 50, pp. 6971--6976, 2017.
  • Hure, Nikola – Vasak, Mario: On Operating Envelope Protection Design for Nonlinear Discrete-time Systems. IFAC-PapersOnLine, no. 1, vol. 50, pp. 1390--1396, 2017.
  • Koduri, Rajesh – Olaru, Sorin – Rodriguez-Ayerbe, Pedro: On the precision in polyhedral partition representation and the fragility of PWA control. In 56th IEEE Conference on Decision and Control (CDC 2017), 2000.
  • Sala, Antonio: Generalising quasi-LPV and CDI models to Quasi-Convex Difference Inclusions. IFAC-PapersOnLine, no. 1, vol. 50, pp. 7560--7565, 2017.
  • Nielsen, Isak: Structure-Exploiting Numerical Algorithms for Optimal Control, vol. 1848, 2017.
  • Pinto, Samuel C – Afonso, Rubens JM: Risk Constrained Navigation Using MILP-MPC Formulation. IFAC-PapersOnLine, no. 1, vol. 50, pp. 3586--3591, 2017.
  • Ballesteros-Tolosana, I – Olaru, S – Rodriguez-Ayerbe, P – Hovd, M – Deborne, R – Pita-Gil, G: On the impact of additive disturbances on Auto-Steering Systems. IFAC-PapersOnLine, no. 1, vol. 50, pp. 11889--11895, 2017.
  • Balint, Roland – Magyar, Attila – Hangos, Katalin M: Cost-optimal model predictive scheduling of home appliances. IFAC-PapersOnLine, no. 1, vol. 50, pp. 3344--3349, 2017.
  • Richter, Jan H. – Friedrich, Stefan R.: Semi-formal verification of closed-loop specifications in the concept design phase. At-automatisierungstechnik, no. 2, vol. 65, pp. 115-123, 2017.
  • Brunner, F.D. – Heemels, W.P.M.H. – Allgöwer, F.: Event-triggered and self-triggered control for linear systems based on reachable sets. Automatica, vol. 101, pp. 15-26, 2019.
  • Lasheen, A. – Saad, M.S. – Emara, H.M. – Elshafei, A.L.: Tube-based explicit model predictive output-feedback controller for collective pitching of wind turbines. Renewable Energy, vol. 131, pp. 549-562, 2019.
  • Gupta, A. – Falcone, P.: Full-complexity characterization of control-invariant domains for systems with uncertain parameter dependence. IEEE Control Systems Letters, no. 1, vol. 3, pp. 19-24, 2019.
  • Maddalena, E.T. – Galvão, R.K.H. – Afonso, R.J.M.: Robust region elimination for piecewise affine control laws. Automatica, vol. 99, pp. 333-337, 2019.
  • Gulan, M. – Takacs, G. – Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P. – Rohaľ-Ilkiv, B.: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, no. 1, vol. 27, pp. 48-62, 2019.
  • Zhang, X. – Farina, M. – Spinelli, S. – Scattolini, R.: Multi-rate model predictive control algorithm for systems with fast-slow dynamics. IET Control Theory and Applications, no. 18, vol. 12, pp. 2468-2477, 2018.
  • Wan, J. – Sharma, S. – Sutton, R.: Guaranteed State Estimation for Nonlinear Discrete-Time Systems via Indirectly Implemented Polytopic Set Computation. IEEE Transactions on Automatic Control, no. 12, vol. 63, pp. 4317-4322, 2018.
  • Ghaffarinasab, N. – Van Woensel, T. – Minner, S.: A continuous approximation approach to the planar hub location-routing problem: Modeling and solution algorithms. Computers and Operations Research, vol. 100, pp. 140-154, 2018.
  • Sheikhbahaei, R. – Alasty, A. – Vossoughi, G.: Robust fault tolerant explicit model predictive control. Automatica, vol. 97, pp. 248-253, 2018.
  • Chou, G. – Sahin, Y.E. – Yang, L. – Rutledge, K.J. – Nilsson, P. – Ozay, N.: Using control synthesis to generate corner cases: A case study on autonomous driving. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, no. 11, vol. 37, pp. 2906-2917, 2018.
  • Colombo, A. – Rossa, F.D.: Composition of Least Restrictive Controllers, with Application to Collision Avoidance in Multiagent Systems. IEEE Transactions on Automatic Control, no. 11, vol. 63, pp. 3972-3978, 2018.
  • Findeisen, R. – Graichen, K. – Mönnigmann, M.: Embedded optimization in control: An introduction, opportunities, and challenges [Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen]. At-Automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
  • Michael, H. – Antonella, F. – Daniel, W.: Data-based reachability analysis for movement prediction of pedestrians and motion planning. In 2018 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2018, 2018.
  • Rubin, D.Y. – Nguyen, H.-N. – Gutman, P.-O.: Yet Another Algorithm for the Computation of Polyhedral Positive Invariant Sets. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018, pp. 698-703, 2018.
  • Osorio, J. – Ossareh, H.R.: A Stochastic Approach to Maximal Output Admissible Sets and Reference Governors. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018, pp. 704-709, 2018.
  • Liu, S. – Bin, Y. – Li, Y. – Scheppat, B.: Hierarchical Model Predictive Control for the Fuel Cell Hybrid Electric Vehicles. In Chinese Control Conference, CCC, pp. 3599-3605, 2018.
  • Serale, G. – Fiorentini, M. – Capozzoli, A. – Cooper, P. – Perino, M.: Formulation of a model predictive control algorithm to enhance the performance of a latent heat solar thermal system. Energy Conversion and Management, vol. 173, pp. 438-449, 2018.
  • Kontouras, E. – Tzes, A. – Dritsas, L.: Set-theoretic detection of data corruption attacks on cyber physical power systems. Journal of Modern Power Systems and Clean Energy, no. 5, vol. 6, pp. 872-886, 2018.
  • Brunner, F.D. – Müller, M.A. – Allgöwer, F.: Enhancing Output-Feedback MPC With Set-Valued Moving Horizon Estimation. IEEE Transactions on Automatic Control, no. 9, vol. 63, pp. 2976-2986, 2018.
  • Villa-Villaseñor, N. – Rico-Melgoza, J.J.: Complementarity framework formulation from bond graphs to model a class of nonlinear systems and hybrid systems with fixed causality. Simulation, no. 9, vol. 94, pp. 783-795, 2018.
  • Wang, H. – Kolmanovsky, I.V. – Sun, J.: Zonotope-based recursive estimation of the feasible solution set for linear static systems with additive and multiplicative uncertainties. Automatica, vol. 95, pp. 236-245, 2018.
  • Dranichak, G.M. – Wiecek, M.M.: On computing highly robust efficient solutions. Journal of Multi-Criteria Decision Analysis, no. 5-6, vol. 25, pp. 177-188, 2018.
  • Chevet, T. – Maniu, C.S. – Vlad, C. – Zhang, Y.: Voronoi-based UAVs Formation Deployment and Reconfiguration using MPC Techniques. In 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018, pp. 9-14, 2018.
  • Ng, Y. – Misra, S. – Roald, L.A. – Backhaus, S.: Statistical learning for DC optimal power flow. In 20th Power Systems Computation Conference, PSCC 2018, 2018.
  • Vinod, A.P. – Homchaudhuri, B. – Hintz, C. – Parikh, A. – Buerger, S.P. – Oishi, M.M.K. – Brunson, G. – Ahmad, S. – Fierro, R.: Multiple Pursuer-Based Intercept via Forward Stochastic Reachability. In Proceedings of the American Control Conference, pp. 1559-1566, 2018.
  • Shinohara, T. – Namerikawa, T.: Reach Set-based Attack Resilient State Estimation against Omniscient Adversaries. In Proceedings of the American Control Conference, pp. 5813-5818, 2018.
  • Lucia, W. – Famularo, D. – Franze, G.: A set-theoretic reconfiguration feedback control scheme against simultaneous stuck actuators. IEEE Transactions on Automatic Control, no. 8, vol. 63, pp. 2558-2565, 2018.
  • Akbari, A. – Barton, P.I.: An Improved Multi-parametric Programming Algorithm for Flux Balance Analysis of Metabolic Networks. Journal of Optimization Theory and Applications, no. 2, vol. 178, pp. 502-537, 2018.
  • Xie, L. – Xie, L. – Su, H. – Wang, J.: Polyhedral feasible set computation of MPC-based optimal control problems. IEEE/CAA Journal of Automatica Sinica, no. 4, vol. 5, pp. 765-770, 2018.
  • Vasak, M. – Kujundzic, G.: A Battery Management System for Efficient Adherence to Energy Exchange Commands under Longevity Constraints. IEEE Transactions on Industry Applications, no. 4, vol. 54, pp. 3019-3033, 2018.
  • Zivkovic, V. – Novoselnik, B. – Baotic, M.: Alternating direction method of multipliers in optimal control of systems of systems. In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 - Proceedings, pp. 908-913, 2018.
  • Falconí, G. P. – Angelov, J. – Holzapfel, F.: Adaptive fault-tolerant position control of a hexacopter subject to an unknown motor failure. International Journal of Applied Mathematics and Computer Science, no. 2, vol. 28, pp. 309-321, 2018.
  • Zhang, S. – Luo, Y. – Li, K. – Li, V.: Real-Time Energy-Efficient Control for Fully Electric Vehicles Based on an Explicit Model Predictive Control Method. IEEE Transactions on Vehicular Technology, no. 6, vol. 67, pp. 4693-4701, 2018.
  • Nguyen, N.A. – Gulan, M. – Olaru, S. – Rodriguez-Ayerbe, P.: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, no. 5, vol. 63, pp. 1243-1258, 2018.
  • Bakarac, P. – Klauco, M. – Fikar, M.: Comparison of inverted pendulum stabilization with PID, LQ, and MPC control. In Proceedings of the 29th International Conference on Cybernetics and Informatics, K and I 2018, pp. 1-6, 2018.
  • Chan, N. – Mitra, S.: Poster: CODEV: Automated model predictive control design and formal verification. In HSCC 2018 - Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), pp. 281-282, 2018.
  • Vinod, A.P. – Oishi, M.M.K.: Scalable underapproximative verification of stochastic LTI systems using convexity and compactness. In HSCC 2018 - Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), pp. 1-10, 2018.
  • Li, G. – Goerges, D.: Hybrid modeling and predictive control of the power split and gear shift in hybrid electric vehicles. In 2017 IEEE Vehicle Power and Propulsion Conference, VPPC 2017 - Proceedings, pp. 1-6, 2018.
  • Stark, C. – Pereira, A. – Althoff, M.: Reachset conformance testing of human arms with a biomechanical model. In Proceedings - 2nd IEEE International Conference on Robotic Computing, IRC 2018, pp. 209-216, 2018.
  • Liu, P. – Kurt, A. – Ozguner, U.: Synthesis of a behavior-guided controller for lead vehicles in automated vehicle convoys. Mechatronics, vol. 50, pp. 366-376, 2018.
  • Nguyen, N.A. – Olaru, S.: A family of piecewise affine control Lyapunov functions. Automatica, vol. 90, pp. 212-219, 2018.
  • Pereira, A. – Althoff, M.: Overapproximative Human Arm Occupancy Prediction for Collision Avoidance. IEEE Transactions on Automation Science and Engineering, no. 2, vol. 15, pp. 818-831, 2018.
  • Rastegar, S. – Araújo, R. – Sadati, J.: Robust synergetic control design under inputs and states constraints. International Journal of Control, no. 3, vol. 91, pp. 639-657, 2018.
  • Nguyen, N.A.: Stochastic output feedback control: Convex lifting approach. Automatica, vol. 89, pp. 212-220, 2018.
  • Suemoto, H. – Hara, N. – Konishi, K.: Model-based design of individual blade pitch and generator torque controllers for floating offshore wind turbines. In 2017 Asian Control Conference, ASCC 2017, pp. 2790-2795, 2018.
  • Taunyazov, T. – Rubagotti, M. – Shintemirov, A.: Constrained orientation control of a spherical parallel manipulator via online convex optimization. IEEE/ASME Transactions on Mechatronics, no. 1, vol. 23, pp. 252-261, 2018.
  • Koduri, R. – Olaru, S. – Rodriguez-Ayerbe, P.: On the precision in polyhedral partition representation and the fragility of PWA control. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 2539-2544, 2018.
  • Franze, G. – Lucia, W. – Famularo, D.: Multi-vehicle formation control in uncertain environments. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 6580-6585, 2018.
  • Vrakopoulou, M. – Hiskens, I.A.: Optimal control policies for reserve deployment with probabilistic performance guarantees. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 4470-4475, 2018.
  • Gupta, A. – Koroglu, H. – Falcone, P.: Restricted-complexity characterization of control-invariant domains with application to lateral vehicle dynamics control. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 4946-4951, 2018.
  • Gleason, J.D. – Vinod, A.P. – Oishi, M.M.K.: Underapproximation of reach-avoid sets for discrete-time stochastic systems via Lagrangian methods. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 4283-4290, 2018.
  • Nguyen, N.A. – Olaru, S.: Robust output feedback control: Convex lifting based approach. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 2330-2335, 2018.
  • Kogel, M. – Findeisen, R.: Low latency output feedback model predictive control for constrained linear systems. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 1925-1932, 2018.
  • Jin, B. – Maasoumy, M. – Nuzzo, P. – Sangiovanni-Vincentelli, A.: Online computation of polytopic flexibility models for demand shifting applications. In IEEE International Conference on Automation Science and Engineering, pp. 900-905, 2018.
  • Gazzaneo, V. – Carrasco, J.C. – Lima, F.V.: An MILP-based Operability Approach for Process Intensification and Design of Modular Energy Systems. Computer Aided Chemical Engineering, vol. 44, pp. 2371-2376, 2018.
  • Almeida, T.A. – Dórea, C.E.T.: Output Feedback Constant Reference Tracking and Disturbance Rejection for Constrained Linear Systems. IFAC-PapersOnLine, no. 25, vol. 51, pp. 30-35, 2018.
  • Santos, M.A. – Ferramosca, A. – Raffo, G.V.: Tube-based MPC with Nonlinear Control for Load Transportation using a UAV. IFAC-PapersOnLine, no. 25, vol. 51, pp. 459-465, 2018.
  • Creemers, F. – Morales Medina, A.I. – Lefeber, E. – de Wouw, N.V.: Design of a supervisory controller for Cooperative Intersection Control using Model Predictive Control. IFAC-PapersOnLine, no. 33, vol. 51, pp. 74-79, 2018.
  • Bäthge, T. – Kögel, M. – Cairano, S.D. – Findeisen, R.: Contract-based Predictive Control for Modularity in Hierarchical Systems. IFAC-PapersOnLine, no. 20, vol. 51, pp. 499-504, 2018.
  • Zagaris, C. – Romano, M.: Reachability analysis of planar spacecraft docking with rotating body in close proximity. Journal of Guidance, Control, and Dynamics, no. 6, vol. 41, pp. 1413-1419, 2018.
  • Liu, Y. – Xie, Y. – Bao, C. – Srivastava, A.: A combined optimization-theoretic and side-channel approach for attacking strong physical unclonable functions. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, no. 1, vol. 26, pp. 73-81, 2018.
  • Zagaris, C. – Romano, M.: Applied reachability analysis for spacecraft rendezvous and docking with a tumbling object. In Space Flight Mechanics Meeting, 2018, 2018.
  • Fang, H. – Mecozzi, M.G. – Brück, E. – van der Zwaag, S. – van Dijk, N.H.: Analysis of the Grain Size Evolution for Ferrite Formation in Fe-C-Mn Steels Using a 3D Model Under a Mixed-Mode Interface Condition. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, no. 1, vol. 49, pp. 41-53, 2018.
  • Vasak, Mario – Kujundzic, Goran: A Battery Management System for Efficient Adherence to Energy Exchange Commands Under Longevity Constraints. IEEE Transactions on Industry Applications, no. 4, vol. 54, pp. 3019-3033, 2018.
  • Liu, Shiqi – Bin, Yang – Li, Yaoyu – Scheppat, Birgit: Decentralized Model Predictive Control for Polymer Electrolyte Membrane Fuel Cell System. Ifac Papersonline, no. 31, vol. 51, pp. 659-664, 2018.
  • Subramanian, Sankaranarayanan – Lucia, Sergio – Birjandi, Seyed Ali Baradaran – Paulen, Radoslav – Engell, Sebastian: A Combined Multi-stage and Tube-based MPC Scheme for Constrained Linear Systems. Ifac Papersonline, no. 20, vol. 51, pp. 481-486, 2018.
  • Lucia, W. – Famularo, D. – Franze, G. – Furfaro, A.: Verification and Control of Hybrid Systems Under Safety Requirements. Ifac Papersonline, no. 25, vol. 51, pp. 61-66, 2018.
  • Gesser, Rodrigo S. – Lima, Daniel M. – Normey-Rico, Julio E.: Robust Model Predictive Control: Implementation Issues with Comparative Analysis. Ifac Papersonline, no. 25, vol. 51, pp. 478-483, 2018.
  • Lu, Jingyi – Cao, Zhixing – Zhang, Ridong – Bo, Cuimei – Gao, Furong: A tube feedback iterative learning control for batch processes. Ifac Papersonline, no. 18, vol. 51, pp. 785-790, 2018.
  • Athanasopoulos, Nikolaos – Jungers, Raphael M.: On invariance and reachability on semialgebraic sets for linear dynamics. Ifac Papersonline, no. 16, vol. 51, pp. 43-48, 2018.
  • Scialanga, Sheila – Ampountolas, Konstantinos: Interpolating Constrained Control of Interconnected Systems. Ifac Papersonline, no. 9, vol. 51, pp. 7-12, 2018.
  • Mercader, Pedro – Ornik, Melkior – Gutman, Per-Olof – Ioslovich, Ilya: Optimal Signal Timing for Multi-Phase Intersections. Ifac Papersonline, no. 9, vol. 51, pp. 476-481, 2018.
  • Ghasemi, Mohammad S. – Afzalian, Ali A.: Invariant convex approximations of the minimal robust invariant set for linear difference inclusions. Nonlinear Analysis-hybrid Systems, vol. 27, pp. 289-297, 2018.
  • Villa-Villaseñor Noé – Rico-Melgoza, Jesús – Diaz-Diaz Irwin: Modeling and Simulation of Electrical Machine Systems Through Bond Graphs and the Complementarity Framework. In 2018 21st International Conference on Electrical Machines and Systems (ICEMS), pp. 693--698, 2018.
  • Arezoo, Jamal – Salahshoor, Karim: Complexity Reduction of Explicit Model Predictive Control via Combining Separator Function and Binary Search Trees. American Journal of Computer Science and Technology, no. 1, vol. 1, pp. 19--23, 2000.
  • Yousefi, Mahdi – van Heusden, Klaske – Mitchell, Ian M – Ansermino, J Mark – Dumont, Guy A: Reducing Conservatism in Model-Invariant Safety-Preserving Control of Propofol Anesthesia Using Falsification. arXiv preprint arXiv:1804.06941, 2018.
  • Nazir, Md Salman – Hiskens, Ian A – Bernstein, Andrey – Dall'Anese, Emiliano: Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. arXiv preprint arXiv:1810.01587, 2018.
  • Chan, Nicole – Mitra, Sayan: CODEV: Automated Model Predictive Control Design and Formal Verification (Tool Paper). arXiv preprint arXiv:1804.02568, 2018.
  • Ciripoi, Daniel – Löhne Andreas – Weißing Benjamin: Calculus of convex polyhedra and polyhedral convex functions by utilizing a multiple objective linear programming solver. arXiv preprint arXiv:1801.10584, 2018.
  • Xiang, Weiming – Johnson, Taylor T: Reachability Analysis and Safety Verification for Neural Network Control Systems. arXiv preprint arXiv:1805.09944, 2018.
  • Karg, Benjamin – Lucia, Sergio: Efficient representation and approximation of model predictive control laws via deep learning. arXiv preprint arXiv:1806.10644, 2018.
  • Novoselnik, Branimir – Spudic, V.: Efficient Algorithm for Model Predictive Control of System of Systems via Parametric Optimization. arXiv preprint arXiv:1804.01377, 2018.
  • Xiang, Weiming – Musau, Patrick – Wild, Ayana A – Lopez, Diego Manzanas – Hamilton, Nathaniel – Yang, Xiaodong – Rosenfeld, Joel – Johnson, Taylor T: Verification for Machine Learning, Autonomy, and Neural Networks Survey. arXiv preprint arXiv:1810.01989, 2018.
  • Ossareh, Hamid R: Reference Governors and Maximal Output Admissible Sets for Linear Periodic Systems. arXiv preprint arXiv:1804.09262, 2018.
  • Gleason, Joseph D – Vinod, Abraham P – Oishi, Meeko MK: Lagrangian Approximations for Stochastic Reachability of a Target Tube. arXiv preprint arXiv:1810.07118, 2018.
  • Vinod, Abraham P – Oishi, Meeko MK: Stochastic reachability of a target tube: Theory and computation. arXiv preprint arXiv:1810.05217, 2018.
  • Vinod, Abraham P – HomChaudhuri, Baisravan – Oishi, Meeko MK: Probabilistic Occupancy Function and Sets Using Forward Stochastic Reachability for Rigid-Body Dynamic Obstacles. arXiv preprint arXiv:1803.07180, 2018.
  • Stathopoulos, Georgios: Distributed Optimization and Control using Operator Splitting Methods. 2018.
  • Frick, Damian: Numerical Methods for Decision-Making in Control from Hybrid Systems to Formal Specifications. 2018.
  • Metzler, Mathias – Tavernini, Davide – Sorniotti, Aldo – Gruber, Patrick: Explicit non-linear model predictive control for vehicle stability control. In 9th International Munich Chassis Symposium 2018, pp. 733--752, 2019.
  • Hinker, Jonas – Knappe, Helena – Myrzik, Johanna MA: Precise Assessment of Technically Feasible Power Vector Interactions for Arbitrary Controllable Multi-Energy Systems. IEEE Transactions on Smart Grid, 2018.
  • Singh, Sumeet – Chow, Yinlam – Majumdar, Anirudha – Pavone, Marco: A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. IEEE Transactions on Automatic Control, 2018.
  • Qin, Junjie – Yang, Insoon – Rajagopal, Ram: Submodularity of Storage Placement Optimization in Power Networks. IEEE Transactions on Automatic Control, 2018.
  • Rubin, Daniel – Nguyen, Hoai-Nam – Gutman, Per-Olof: Computation of polyhedral positive invariant sets via linear matrix inequalities. In 2018 European Control Conference (ECC), pp. 2941--2946, 2018.
  • Farina, Marcello – Zhang, Xinglong – Scattolini, Riccardo: A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities. IEEE Transactions on Control Systems Technology, 2018.
  • Yousefi, Mahdi – van Heusden, Klaske – Mitchell, Ian M – Ansermino, J Mark – Dumont, Guy A: Falsified Model-Invariant Safety-Preserving Control With Application to Closed-Loop Anesthesia. IEEE Transactions on Control Systems Technology, 2018.
  • Buckner, Caroline – Lampariello, Roberto: Tube-based Model Predictive Control for the Approach Maneuver of a Spacecraft to a free-tumbling Target Satellite. In 2018 Annual American Control Conference (ACC), pp. 5690--5697, 2018.
  • Rego, Brenner S – Raimondo, Davide M – Raffo, Guilherme V: Set-based state estimation of nonlinear systems using constrained zonotopes and interval arithmetic. In 2018 European Control Conference (ECC), pp. 1584--1589, 2018.
  • Van Steenkiste, Tom – van der Herten, Joachim – Deschrijver, Dirk – Dhaene, Tom: ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Engineering with Computers, pp. 1--14, 2018.
  • Dixit, Shilp – Montanaro, Umberto – Fallah, Saber – Dianati, Mehrdad – Oxtoby, David – Mizutani, Tom – Mouzakitis, Alexandros: Trajectory Planning for Autonomous High-Speed Overtaking using MPC with Terminal Set Constraints. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 1061--1068, 2018.
  • Koegel, Markus – Findeisen, Rolf: Improved Robust Decentralized MPC. In 2018 European Control Conference (ECC), pp. 312--318, 2018.
  • Gupta, Ankit – Falcone, Paolo: Low-Complexity Explicit MPC Controller for Vehicle Lateral Motion Control. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 2839--2844, 2018.
  • Zhao, Haoran – Wu, Qiuwei: Clustering-based Wind Turbine Generator Model Linearization. Modeling and Modern Control of Wind Power, pp. 117--132, 2018.
  • Kontouras, Efstathios – Tzes, Anthony – Dritsas, Leonidas: Set-induced anomaly detectors for networked power systems under bias injection cyber-attacks. In 2018 European Control Conference (ECC), pp. 1--4, 2018.
  • Kogel, Markus – Andonov, Petar – Filax, Marco – Ortmeier, Frank – Findeisen, Rolf: Predictive Tracking Control of a Camera-Head Mounted Display System subject to Communication Constraints. In 2018 European Control Conference (ECC), pp. 1035--1041, 2018.
  • Shinohara, Takumi – Namerikawa, Toru: Reach Set-Based Secure State Estimation against Sensor Attacks with Interval Hull Approximation. SICE Journal of Control, Measurement, and System Integration, no. 5, vol. 11, pp. 399--408, 2018.
  • FALCONI, GUILLERMO P – ANGELOV, JORG – HOLZAPFEL, FLORIAN: ADAPTIVE FAULT--TOLERANT POSITION CONTROL OF A HEXACOPTER SUBJECT TO AN UNKNOWN MOTOR FAILURE. Int. J. Appl. Math. Comput. Sci, no. 2, vol. 28, pp. 309--321, 2000.
  • Subramanian, Sankaranarayanan – Lucia, Sergio – Birjandi, Seyed Ali Baradaran – Paulen, Radoslav – Engell, Sebastian: A Combined Multi-stage and Tube-based MPC Scheme for Constrained Linear Systems. IFAC-PapersOnLine, no. 20, vol. 51, pp. 481--486, 2018.
  • Cotorruelo, Andres – Nicotra, Marco M – Limon, Daniel – Garone, Emanuele: Explicit Reference Governor Toolbox (ERGT). In 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI), pp. 1--6, 2018.
  • Ossareh, H. R.: Reference governors and maximal output admissible sets for linear periodic systems. International Journal of Control, 2000.
  • Adhau, Saket – Phalke, Kiran – Nalawade, Apeksha – Ingole, Deepak – Paul, Sayli – Sonawane, Dayaram: Implementation and Analysis of Offset-Free Explicit Model Predictive Controller on FPGA. In 2019 Fifth Indian Control Conference (icc), pp. 231-236, 2019.
  • Steinberger, M. – Castillo, I. – Horn, M. – Fridman, L.: Robust output tracking of constrained perturbed linear systems via model predictive sliding mode control. International Journal of Robust and Nonlinear Control, 2000.
  • Yousefi, Mandi – van Heusden, Klaske – West, Nicholas – Mitchell, Ian M. – Ansermino, J. Mark – Dumont, Guy A.: A formalized safety system for closed-loop anesthesia with pharmacokinetic and pharmacodynamic constraints. Control Engineering Practice, vol. 84, pp. 23-31, 2019.
  • Danielson, Claus – Bridgeman, Leila J. – Di Cairano, Stefano: Necessary and sufficient conditions for constraint satisfaction in switched systems using switch-robust control invariant sets. International Journal of Robust and Nonlinear Control, no. 9, vol. 29, pp. 2589-2602, 2019.
  • Zheng, Yanggu – Shyrokau, Barys: A real-time nonlinear MPC for extreme lateral stabilization of passenger vehicles. In 2019 IEEE International Conference on Mechatronics (icm), pp. 519-524, 2019.
  • Lu, Jingyi – Gao, Furong: A Polytopic Invariant Set Based Iterative Learning Model Predictive Control. Ifac Papersonline, no. 1, vol. 52, pp. 649-654, 2019.
  • Jia, Chengyu – Wang, Xudong – Liang, Yafei – Zhou, Kai: Robust Current Controller for IPMSM Drives Based on Explicit Model Predictive Control With Online Disturbance Observer. IEEE ACCess, vol. 7, pp. 45898-45910, 2019.
  • Vale da Fonseca, Daniel Guerra – Dantas, Andre Felipe O. de A. – Trabuco Dorea, Carlos Eduardo – Maitelli, Andre Laurindo: Explicit GPC Control Applied to an Approximated Linearized Crane System. Journal of Control Science and Engineering, no. 3612634, 2019.
  • Hinker, Jonas – Knappe, Helena – Myrzik, Johanna M. A.: Precise Assessment of Technically Feasible Power Vector Interactions for Arbitrary Controllable Multi-Energy Systems. IEEE Transactions on Smart Grid, no. 1, vol. 10, pp. 1146-1155, 2019.
  • Zhang, Xinglong – Farina, Marcello – Spinelli, Stefano – Scattolini, Riccardo: Multi-rate model predictive control algorithm for systems with fast-slow dynamics. Iet Control Theory and Applications, no. 18, vol. 12, pp. 2468-2477, 2018.
  • Wan, Jian – Sharma, Sanjay – Sutton, Robert: Guaranteed State Estimation for Nonlinear Discrete-Time Systems via Indirectly Implemented Polytopic Set Computation. IEEE Transactions on Automatic Control, no. 12, vol. 63, pp. 4317-4322, 2018.
  • Ghaffarinasab, Nader – Van Woensel, Tom – Minner, Stefan: A continuous approximation approach to the planar hub location-routing problem: Modeling and solution algorithms. Computers & Operations Research, vol. 100, pp. 140-154, 2018.
  • Pavlov, Andrei – Shames, Iman – Manzie, Chris: Minimax strategy in approximate model predictive control. Automatica, no. 108649, vol. 111, 2020.
  • Warrington, Joseph – Beuchat, Paul N. – Lygeros, John: Generalized Dual Dynamic Programming for Infinite Horizon Problems in Continuous State and Action Spaces. IEEE Transactions on Automatic Control, no. 12, vol. 64, pp. 5012-5023, 2019.
  • Tan, Zhenfei – Zhong, Haiwang – Wang, Jianxiao – Xia, Qing – Kang, Chongqing: Enforcing Intra-Regional Constraints in Tie-Line Scheduling: A Projection-Based Framework. IEEE Transactions on Power Systems, no. 6, vol. 34, pp. 4751-4761, 2019.
  • Eilbrecht, Jan – Stursberg, Olaf: Hierarchical solution of non-convex optimal control problems with application to autonomous driving. European Journal of Control, vol. 50, pp. 188-197, 2019.
  • Liu, Fang – Gao, Feng – Liu, Ling – Sidorov, Denis N.: IPMSM Speed and Current Controller Design for Electric Vehicles Based on Explicit MPC. Journal of Advanced Computational Intelligence and Intelligent Informatics, no. 6, vol. 23, pp. 1019-1026, 2019.
  • Ciripoi, Daniel – Loehne, Andreas – Weissing, Benjamin: Calculus of convex polyhedra and polyhedral convex functions by utilizing a multiple objective linear programming solver. Optimization, no. 10, SI, vol. 68, pp. 2039-2054, 2019.
  • de Almeida, Fabio A.: Constrained dynamic compensation with model predictive control for tracking. Aerospace Science and Technology, no. UNSP 105340, vol. 93, 2019.
  • Salamati, Mahmoud – Salvia, Rocco – Darulova, Eva – Soudjani, Sadegh – Majumdar, Rupak: Memory-Efficient Mixed-Precision Implementations for Robust Explicit Model Predictive Control. Acm Transactions on Embedded Computing Systems, no. 5, S, SI, vol. 18, 2019.
  • Wei, Peitang – Liu, Huaiju – Zhu, Caichao – He, Haifeng: Continuous damage-based Voronoi finite element analysis of contact fatigue of a wind turbine gear. Proceedings of the Institution of Mechanical Engineers Part J-journal of Engineering Tribology, no. 10, vol. 233, pp. 1483-1495, 2019.
  • Abbas, Hossam Seddik – Maennel, Georg – Hoffmann, Christian Herzogne – Rostalski, Philipp: Tube-based model predictive control for linear parameter-varying systems with bounded rate of parameter variation. Automatica, vol. 107, pp. 21-28, 2019.
  • Gao, Yulong – Yu, Pian – Dimarogonas, Dimos V. – Johansson, Karl H. – Xie, Lihua: Robust self-triggered control for time-varying and uncertain constrained systems via reachability analysis. Automatica, vol. 107, pp. 574-581, 2019.
  • Agulhari, Cristiano M. – Felipe, Alexandre – Oliveira, Ricardo C. L. F. – Peres, Pedro L. D.: Algorithm 998: The Robust LMI Parser-A Toolbox to Construct LMI Conditions for Uncertain Systems. Acm Transactions on Mathematical Software, no. 3, vol. 45, 2019.
  • Qin, Junjie – Yang, Insoon – Rajagopal, Ram: Submodularity of Storage Placement Optimization in Power Networks. IEEE Transactions on Automatic Control, no. 8, vol. 64, pp. 3268-3283, 2019.
  • Moennigmann, Martin: On the structure of the set of active sets in constrained linear quadratic regulation. Automatica, vol. 106, pp. 61-69, 2019.
  • Stoican, Florin – Irofti, Paul: Aiding Dictionary Learning Through Multi-Parametric Sparse Representation. Algorithms, no. 7, vol. 12, 2019.
  • Tanaskovic, Marko – Fagiano, Lorenzo – Gligorovski, Vojislav: Adaptive model predictive control for linear time varying MIMO systems. Automatica, vol. 105, pp. 237-245, 2019.
  • Singh, Sumeet – Chow, Yinlam – Majumdar, Anirudha – Pavone, Marco: A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. IEEE Transactions on Automatic Control, no. 7, vol. 64, pp. 2905-2912, 2019.
  • Tavernini, Davide – Metzler, Mathias – Gruber, Patrick – Sorniotti, Aldo: Explicit Nonlinear Model Predictive Control for Electric Vehicle Traction Control. IEEE Transactions on Control Systems Technology, no. 4, vol. 27, pp. 1438-1451, 2019.
  • Voscek, Dominik – Jadlovska, Anna – Grigl\\\'ak, Dominik: Modelling, analysis and control design of hybrid dynamical systems. Journal of Electrical Engineering-elektrotechnicky Casopis, no. 3, vol. 70, pp. 176-186, 2019.
  • Mont Gomery Pinto, Jan Erik – Oliveira de Azevedo Dantas, Andre Felipe – Maitelli, Andre Laurindo – Oliveira da Silva Dantas, Amanda Danielle – Trabucco Dorea, Carlos Eduardo – Loureiro Sousa Campos, Joao Tiago – de Castro Rego, Everton Jose: PLC Implementation of Piecewise Affine PI Controller Applied to Industrial Systems with Constraints. Journal of Control Automation and Electrical Systems, no. 3, vol. 30, pp. 311-322, 2019.
  • Mohan, Rishi – de Jager, Brain: Robust Optimal Sensor Planning for Occlusion Handling in Dynamic Robotic Environments. IEEE Sensors Journal, no. 11, vol. 19, pp. 4259-4270, 2019.
  • Yadbantung, Rungroj – Bumroongsri, Pornchai: Tube-based robust output feedback MPC for constrained LTV systems with applications in chemical processes. European Journal of Control, vol. 47, pp. 11-19, 2019.
  • Jiang, Miao – Li, Yiqing – Zhang, Qi – Qin, Jiayin: Joint Position and Time Allocation Optimization of UAV Enabled Time Allocation Optimization Networks. IEEE Transactions on Communications, no. 5, vol. 67, pp. 3806-3816, 2019.
  • Liu, Peng – Kurt, Arda – Ozguner, Umit: Distributed Model Predictive Control for Cooperative and Flexible Vehicle Platooning. IEEE Transactions on Control Systems Technology, no. 3, vol. 27, pp. 1115-1128, 2019.
  • Gazzaneo, Vitor – Lima, Fernando V.: Multilayer Operability Framework for Process Design, Intensification, and Modularization of Nonlinear Energy Systems. Industrial & Engineering Chemistry Research, no. 15, SI, vol. 58, pp. 6069-6079, 2019.
  • Zhan, Siyuan – Li, Guang – Na, Jing – He, Wei: Feedback noncausal model predictive control of wave energy converters. Control Engineering Practice, vol. 85, pp. 110-120, 2019.
  • Tabatabaei, Seyyed Mostafa – Kamali, Sara – Jahed-Motlagh, Mohammad Reza – Yazdi, Mojtaba Barkhordari: Practical Explicit Model Predictive Control for a Class of Noise-embedded Chaotic Hybrid Systems. International Journal of Control Automation and Systems, no. 4, vol. 17, pp. 857-866, 2019.
  • Van Steenkiste, Tom – van der Herten, Joachim – Deschrijver, Dirk – Dhaene, Tom: ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Engineering with Computers, no. 2, vol. 35, pp. 537-550, 2019.
  • Rossi, Fernanda Quelho – Harrop Galvao, Roberto Kawakami – Minhoto Teixeira, Marcelo Carvalho – Assuncao, Edvaldo: Direct Design of Controllers Using Complementary State and State-Derivative Feedback. Journal of Control Automation and Electrical Systems, no. 2, vol. 30, pp. 181-193, 2019.
  • Ramadan, Ahmed – Choi, Jongeun – Radcliffe, Clark J. – Popovich, Jr., John M. – Reeves, N. Peter: Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control. IEEE Robotics and Automation Letters, no. 2, vol. 4, pp. 224-230, 2019.
  • Brunner, Florian David – Heemels, W. P. M. H. – Allgoewer, Frank: Event-triggered and self-triggered control for linear systems based on reachable sets. Automatica, vol. 101, pp. 15-26, 2019.
  • Lasheen, Ahmed – Saad, Mohamed S. – Emara, Hassan M. – Elshafei, Abdel Latif: Tube-based explicit model predictive output-feedback controller for collective pitching of wind turbines. Renewable Energy, vol. 131, pp. 549-562, 2019.
  • Sala, Antonio – Arino, Carlos – Robles, Ruben: Gain-Scheduled Control via Convex Nonlinear Parameter Varying Models. Ifac Papersonline, no. 28, vol. 52, pp. 70-75, 2019.
  • Yuan, Meng – Manzie, Chris – Good, Malcolm – Shames, Iman – Keynejad, Farzad – Robinette, Troy: Bounded Error Tracking Control for Contouring Systems with End Effector Measurements. In 2019 IEEE International Conference on Industrial Technology (icit), pp. 66-71, 2019.
  • Wang, Yixuan – Li, Zhen – Xu, Jun – Li, Jiangang: Multilevel Lattice Piecewise Linear Representation and Its Application in Explicit Predictive Control. In 2019 12th Asian Control Conference (ascc), pp. 1066-1071, 2019.
  • Subramanian, Sankaranarayanan – Aboelnour, Mohamed – Engell, Sebastian: Robust Tube-enhanced Multi-stage Output Feedback MPC for Linear Systems with Additive and Parametric Uncertainties. In 2019 18th European Control Conference (ECC), pp. 331-336, 2019.
  • Bagherzadeh, Maryam – Lucia, Walter: Multi-Vehicle Reference Tracking with Guaranteed Collision Avoidance. In 2019 18th European Control Conference (ECC), pp. 1574-1579, 2019.
  • Kogel, Markus – Quevedo, Daniel – Findeisen, Rolf: Combined control and communication scheduling for constrained system using robust output feedback MPC. In 2019 18th European Control Conference (ECC), pp. 1778-1783, 2019.
  • Smith, Stanley W. – Kim, Yeojun – Guanetti, Jacopo – Kurzhanskiy, Alexander A. – Arcak, Murat – Borrelli, Francesco: Balancing Safety and Traffic Throughput in Cooperative Vehicle Platooning. In 2019 18th European Control Conference (ECC), pp. 2197-2202, 2019.
  • Scialanga, Sheila – Ampountolas, Konstantinos: Interpolating Control Toolbox (ICT). In 2019 18th European Control Conference (ECC), pp. 2510-2515, 2019.
  • Liao-McPherson, Dominic – Nicotra, Marco M. – Kolmanovsky, Ilya V.: A Semismooth Predictor Corrector Method for Suboptimal Model Predictive Control. In 2019 18th European Control Conference (ECC), pp. 2749-2755, 2019.
  • Chevet, Thomas – Maniu, Cristina Stoica – Vlad, Cristina – Zhang, Youmin: Guaranteed Voronoi-based Deployment for Multi-Agent Systems under Uncertain Measurements. In 2019 18th European Control Conference (ECC), pp. 4016-4021, 2019.
  • Wrobel, Karol Tomasz – Szabat, Krzysztof – Serkies, Piotr: Long-horizon model predictive control of induction motor drive. Archives of Electrical Engineering, no. 3, vol. 68, pp. 579-593, 2019.
  • Kontouras, E. – Tzes, A. – Dritsas, L.: Hybrid detection of intermittent cyber-attacks in networked power systems. Energies, no. 24, vol. 12, 2019.
  • Zhang, S. – Dai, L. – Xia, Y.: Adaptive MPC for constrained systems with parameter uncertainty and additive disturbance. IET Control Theory and Applications, no. 15, vol. 13, pp. 2500-2506, 2019.
  • Bentaleb, T. – Nguyen, V.T. – Sentouh, C. – Conreur, G. – Poulain, T. – Pudlo, P.: A real-time multi-objective predictive control strategy for wheelchair ergometer platform. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2397-2404, 2019.
  • Boucek, Z. – Flidr, M.: Explicit interpolating control of unmanned aerial vehicle. In 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, pp. 384-389, 2019.
  • Naderi, M. – Khaki Sedigh, A. – Johansen, T.A.: Guaranteed feasible control allocation using model predictive control. Control Theory and Technology, no. 3, vol. 17, pp. 252-264, 2019.
  • Ho, D. – Doyle, J.C.: Scalable robust adaptive control from the system level perspective. In Proceedings of the American Control Conference, pp. 3683-3688, 2019.
  • Liu, S. – Zamani, M.: Compositional synthesis of almost maximally permissible safety controllers. In Proceedings of the American Control Conference, pp. 1678-1683, 2019.
  • Stoican, F. – Prodan, I. – Grøtli, E.I. – Nguyen, N.T.: Inspection Trajectory Planning for 3D Structures under a Mixed-Integer Framework. In IEEE International Conference on Control and Automation, ICCA, pp. 1349-1354, 2019.
  • Vinod, A.P. – Sivaramakrishnan, V. – Oishi, M.M.K.: Piecewise-affine approximation-based stochastic optimal control with gaussian joint chance constraints. In Proceedings of the American Control Conference, pp. 2942-2949, 2019.
  • Qin, D. – Qin, L.: Energy Management Strategy for a Power-split Hybrid Electric Vehicle Based on Explicit Stochastic Model Predictive Control [基于显式随机模型预测控制的功率分流式混合动力车辆能量管理策略]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), no. 7, vol. 47, pp. 112-120, 2019.
  • Koeln, J.P. – Hencey, B.M.: Constrained hierarchical MPC via zonotopic waysets. In Proceedings of the American Control Conference, pp. 4237-4244, 2019.
  • Jafari, S. – Savla, K.: On structural properties of optimal feedback control of traffic flow under the cell transmission model. In Proceedings of the American Control Conference, pp. 3309-3314, 2019.
  • Sartipizadeh, H. – Vinod, A.P. – Açikmeşe, B. – Oishi, M.: Voronoi partition-based scenario reduction for fast sampling-based stochastic reachability computation of linear systems. In Proceedings of the American Control Conference, pp. 37-44, 2019.
  • Tavernini, D. – Metzler, M. – Gruber, P. – Sorniotti, A.: Explicit Nonlinear Model Predictive Control for Electric Vehicle Traction Control. IEEE Transactions on Control Systems Technology, no. 4, vol. 27, pp. 1438-1451, 2019.
  • Singh, S. – Chow, Y. – Majumdar, A. – Pavone, M.: A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. IEEE Transactions on Automatic Control, no. 7, vol. 64, pp. 2905-2912, 2019.
  • Bertolin, A.L.J. – Peres, P.L.D. – Oliveira, R.C.L.F.: Robust stability, H2 and H∞ guaranteed costs for discrete time-varying uncertain linear systems with constrained parameter variations. In Proceedings of the American Control Conference, pp. 4541-4546, 2019.
  • Pinto, J.E.M.G. – de Azevedo Dantas, A.F.O. – Maitelli, A.L. – da Silva Dantas, A.D.O. – Dórea, C.E.T. – Campos, J.T.L.S. – de Castro Rego, E.J.: PLC Implementation of Piecewise Affine PI Controller Applied to Industrial Systems with Constraints. Journal of Control, Automation and Electrical Systems, no. 3, vol. 30, pp. 311-322, 2019.
  • Carvalho, A.M. – Sequeira, J.S.: Approximating viability kernels of high-dimensional linear systems. In 2019 18th European Control Conference, ECC 2019, pp. 4289-4294, 2019.
  • Smith, S.W. – Kim, Y. – Guanetti, J. – Kurzhanskiy, A.A. – Arcak, M. – Borrelli, F.: Balancing safety and traffic throughput in cooperative vehicle platooning. In 2019 18th European Control Conference, ECC 2019, pp. 2197-2202, 2019.
  • Matthes, B. – Spieker, C. – Klein, D. – Rehtanz, C.: Impact of a minimum remaining available margin adjustment in flow-based market coupling. In 2019 IEEE Milan PowerTech, PowerTech 2019, 2019.
  • Subramanian, S. – Aboelnour, M. – Engell, S.: Robust tube-enhanced multi-stage output feedback MPC for linear systems with additive and parametric uncertainties. In 2019 18th European Control Conference, ECC 2019, pp. 331-336, 2019.
  • Li, X. – Kennel, R. – Peter, H.: Tube-based robust current control of induction motors. In Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, pp. 2032-2036, 2019.
  • Noto, G. – Hagenmeyer, V. – Appino, R.R. – Chicco, G.: Determination of feasible power variability ranges in active distribution networks with uncertain generation and demand. In 2019 IEEE Milan PowerTech, PowerTech 2019, 2019.
  • Wang, Y. – Li, Z. – Xu, J. – Li, J.: Multilevel Lattice Piecewise Linear Representation and Its Application in Explicit Predictive Control. In 2019 12th Asian Control Conference, ASCC 2019, pp. 1066-1071, 2019.
  • Chevet, T. – Maniu, C.S. – Vlad, C. – Zhang, Y.: Guaranteed voronoi-based deployment for multi-agent systems under uncertain measurements. In 2019 18th European Control Conference, ECC 2019, pp. 4016-4021, 2019.
  • Berkel, F. – Liu, S.: An Event-Triggered Output-Based Model Predictive Control Strategy. IEEE Transactions on Control of Network Systems, no. 2, vol. 6, pp. 822-832, 2019.
  • Liao-Mcpherson, D. – Nicotra, M.M. – Kolmanovsky, I.V.: A semismooth predictor corrector method for suboptimal model predictive control. In 2019 18th European Control Conference, ECC 2019, pp. 2749-2755, 2019.
  • Kogel, M. – Quevedo, D. – Findeisen, R.: Combined control and communication scheduling for constrained system using robust output feedback MPC. In 2019 18th European Control Conference, ECC 2019, pp. 1778-1783, 2019.
  • Mohan, R. – De Jager, B.: Robust Optimal Sensor Planning for Occlusion Handling in Dynamic Robotic Environments. IEEE Sensors Journal, no. 11, vol. 19, pp. 4259-4270, 2019.
  • Zheng, Y. – Shyrokau, B.: A Real-Time Nonlinear MPC for Extreme Lateral Stabilization of Passenger Vehicles. In Proceedings - 2019 IEEE International Conference on Mechatronics, ICM 2019, pp. 519-524, 2019.
  • Zhang, F. – Hu, X. – Xu, K. – Tang, X. – Cui, Y.: Current Status and Prospects for Model Predictive Energy Management in Hybrid Electric Vehicles [混合动力汽车模型预测能量管理研究现状与展望]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, no. 10, vol. 55, pp. 86-108, 2019.
  • Adhau, S. – Phalke, K. – Nalawade, A. – Ingole, D. – Patil, S. – Sonawane, D.: Implementation and Analysis of Offset-Free Explicit Model Predictive Controller on FPGA. In 2019 5th Indian Control Conference, ICC 2019 - Proceedings, pp. 231-236, 2019.
  • Yadbantung, R. – Bumroongsri, P.: Tube-based robust output feedback MPC for constrained LTV systems with applications in chemical processes. European Journal of Control, vol. 47, pp. 11-19, 2019.
  • Liu, P. – Kurt, A. – Ozguner, U.: Distributed Model Predictive Control for Cooperative and Flexible Vehicle Platooning. IEEE Transactions on Control Systems Technology, no. 3, vol. 27, pp. 1115-1128, 2019.
  • Jiang, M. – Li, Y. – Zhang, Q. – Qin, J.: Joint position and time allocation optimization of uav enabled time allocation optimization networks. IEEE Transactions on Communications, no. 5, vol. 67, pp. 3806-3816, 2019.
  • Gazzaneo, V. – Lima, F.V.: Multilayer Operability Framework for Process Design, Intensification, and Modularization of Nonlinear Energy Systems. Industrial and Engineering Chemistry Research, no. 15, vol. 58, pp. 6069-6079, 2019.
  • Vinod, A.P. – Gleason, J.D. – Oishi, M.M.K.: SReachTools: A MATLAB stochastic reachability toolbox: Demo abstract. In HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control, pp. 264-265, 2019.
  • Vinod, A.P. – Gleason, J.D. – Oishi, M.M.K.: SReachTools: A MATLAB stochastic reachability toolbox. In HSCC 2019 - Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control, pp. 33-38, 2019.
  • Rossi, F.Q. – Galvão, R.K.H. – Teixeira, M.C.M. – Assunção, E.: Direct Design of Controllers Using Complementary State and State-Derivative Feedback. Journal of Control, Automation and Electrical Systems, no. 2, vol. 30, pp. 181-193, 2019.
  • Yu, J. – Guo, X. – Pei, X. – Chen, Z. – Zhu, M. – Gong, B.: Robust model predictive control for path tracking of autonomous vehicle. SAE Technical Papers, no. April, vol. 2019-April, 2019.
  • Van Steenkiste, T. – van der Herten, J. – Deschrijver, D. – Dhaene, T.: ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Engineering with Computers, no. 2, vol. 35, pp. 537-550, 2019.
  • Ramadan, A. – Choi, J. – Radcliffe, C.J. – Popovich, J.M. – Reeves, N.P.: Inferring control intent during seated balance using inverse model predictive control. IEEE Robotics and Automation Letters, no. 2, vol. 4, pp. 224-230, 2019.
  • Tabatabaei, S.M. – Kamali, S. – Jahed-Motlagh, M.R. – Yazdi, M.B.: Practical Explicit Model Predictive Control for a Class of Noise-embedded Chaotic Hybrid Systems. International Journal of Control, Automation and Systems, no. 4, vol. 17, pp. 857-866, 2019.
  • Yuan, M. – Manzie, C. – Good, M. – Shames, I. – Keynejad, F. – Robinette, T.: Bounded error tracking control for contouring systems with end effector measurements. In Proceedings of the IEEE International Conference on Industrial Technology, pp. 66-71, 2019.
  • Zhan, S. – Li, G.: Indefinite feedback MPC with preview information of bounded disturbance. In Proceedings of the IEEE Conference on Decision and Control, pp. 2458-2463, 2019.
  • Hatleskog, J. – Olaru, S. – Hovd, M.: Voronoi-Based Deployment of Multi-Agent Systems. In Proceedings of the IEEE Conference on Decision and Control, pp. 5403-5408, 2019.
  • Liu, Y. – Osorio, J. – Ossareh, L.: Decoupled Reference Governors for Multi-Input Multi-Output Systems. In Proceedings of the IEEE Conference on Decision and Control, pp. 1839-1846, 2019.
  • Nazir, M.S. – Hiskens, I.A. – Bernstein, A. – Dall\\\'Anese, E.: Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. In Proceedings of the IEEE Conference on Decision and Control, pp. 5708-5715, 2019.
  • Rosolia, U. – Zhang, X. – Borrelli, F.: A Stochastic MPC Approach with Application to Iterative Learning. In Proceedings of the IEEE Conference on Decision and Control, pp. 5152-5157, 2019.
  • Pereira, G.C. – Lima, P.F. – Wahlberg, B. – Pettersson, H. – Martensson, J.: Linear Time-Varying Robust Model Predictive Control for Discrete-Time Nonlinear Systems. In Proceedings of the IEEE Conference on Decision and Control, pp. 2659-2666, 2019.
  • Lucia, W. – Gheitasi, K. – Bagherzadeh, M.: A Low Computationally Demanding Model Predictive Control Strategy for Robust Transient Stability in Smart Grid. In Proceedings of the IEEE Conference on Decision and Control, pp. 6013-6018, 2019.
  • Rubagotti, M. – Paolo Incremona, G. – Ferrara, A.: A Discrete-Time Optimization-Based Sliding Mode Control Law for Linear Systems with Input and State Constraints. In Proceedings of the IEEE Conference on Decision and Control, pp. 5940-5945, 2019.
  • Vinod, A.P. – Rice, S. – Mao, Y. – Oishi, M.M.K. – Acikmese, B.: Stochastic Motion Planning Using Successive Convexification and Probabilistic Occupancy Functions. In Proceedings of the IEEE Conference on Decision and Control, pp. 4425-4432, 2019.
  • Oravec, J. – Bakošová, M. – Horváthová, M. – Galčíková, L. – Slávik, M. – Vasičkaninová, A. – Mészáros, A.: Convex-lifting-based Robust Control of a Laboratory Plate Heat Exchanger. Chemical Engineering Transactions, vol. 76, pp. 733-738, 2019.
  • Liu, F. – Gao, F. – Liu, L. – Sidorov, D.N.: IPMSM speed and current controller design for electric vehicles based on explicit MPC. Journal of Advanced Computational Intelligence and Intelligent Informatics, no. 6, vol. 23, pp. 1019-1026, 2019.
  • Lu, J. – Gao, F.: A polytopic invariant set based iterative learning model predictive control. In IFAC-PapersOnLine, pp. 649-654, 2019.
  • Zhang, B. – Boffy, H. – Venner, C.H.: Multigrid solution of 2D and 3D stress fields in contact mechanics of anisotropic inhomogeneous materials. Tribology International, 2019.
  • Ravichandran, K. – Masoudi, N. – Fadel, G.M. – Wiecek, M.M.: Parametric optmization for structural design problems. In Proceedings of the ASME Design Engineering Technical Conference, 2019.
  • Stoican, F. – Irofti, P.: Aiding dictionary learning through multi-parametric sparse representation. Algorithms, no. 7, vol. 12, 2019.
  • Wang, X. – Peng, H. – Zhao, D.: Combining reachability analysis and importance sampling for accelerated evaluation of highly automated vehicles at pedestrian crossing. In ASME 2019 Dynamic Systems and Control Conference, DSCC 2019, 2019.
  • Dbouk, H. – Schön, S.: Reliability and integrity measures of GPS positioning via geometrical constraints. In ION 2019 International Technical Meeting Proceedings, pp. 730-743, 2019.
  • Jia, C. – Wang, X. – Liang, Y. – Zhou, K.: Robust Current Controller for IPMSM Drives Based on Explicit Model Predictive Control with Online Disturbance Observer. IEEE Access, no. 6287639, vol. 7, pp. 45898-45910, 2019.
  • Hinker, J. – Knappe, H. – Myrzik, J.M.A.: Precise Assessment of Technically Feasible Power Vector Interactions for Arbitrary Controllable Multi-Energy Systems. IEEE Transactions on Smart Grid, no. 1, vol. 10, pp. 1146-1155, 2019.
  • Chevet, T. – Vlad, C. – Maniu, C.S. – Zhang, Y.: Decentralized MPC for UAVs Formation Deployment and Reconfiguration with Multiple Outgoing Agents. Journal of Intelligent and Robotic Systems: Theory and Applications, 2019.
M. Kvasnica – A. Szűcs – M. Fikar – J. Drgoňa: Explicit MPC of LPV Systems in the Controllable Canonical Form. In 2013 European Control Conference, pp. 1035–1040, 2013.
  • Number of citations       2
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Marquez-Ruiz, Alejandro – Mendez-Blanco, Carlos – Ozkan, Leyla: Constrained Control and Estimation of Homogeneous Reaction Systems Using Extent-Based Linear Parameter Varying Models. Industrial & Engineering Chemistry Research, no. 6, vol. 59, pp. 2242-2251, 2020.
J. Holaza – B. Takács – M. Kvasnica: Synthesis of Simple Explicit MPC Optimizers by Function Approximation. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 377–382, 2013.
  • Number of citations       2
  • Karg, Benjamin – Lucia, Sergio: Efficient representation and approximation of model predictive control laws via deep learning. arXiv preprint arXiv:1806.10644, 2018.
  • Karg, B. – Lucia, S.: Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Transactions on Cybernetics, no. 9, vol. 50, pp. 3866-3878, 2020.
J. Drgoňa – M. Kvasnica: Comparison of MPC Strategies for Building Control. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 401–406, 2013.
  • Number of citations       10
  • Novoselnik, B. – Cesic, J. – Baotic, M. – Petrovic, I.: Nonlinear model predictive control for energy efficient housing with modern construction materials. In Sensors Applications Symposium (SAS), 2015 IEEE, pp. 1-6, 2015.
  • Mantovani, G. – Ferrarini, L.: Temperature Control of a Commercial Building With Model Predictive Control Techniques. Industrial Electronics, IEEE Transactions on, no. 4, vol. 62, pp. 2651-2660, 2015.
  • Jain, A. – Behl, M. – Mangharam, R.: Data Predictive Control for building energy management. In Proceedings of the American Control Conference, pp. 44-49, 2017.
  • Park, June Young – Nagy, Zoltan: Comprehensive analysis of the relationship between thermal comfort and building control research-A data-driven literature review. Renewable and Sustainable Energy Reviews, 2017.
  • Jain, Achin – Behl, Madhur – Mangharam, Rahul: Data Predictive Control for building energy management. 2000.
  • Luzi, M. – Vaccarini, M. – Lemma, M.: A tuning methodology of Model Predictive Control design for energy efficient building thermal control. Journal of Building Engineering, vol. 21, pp. 28-36, 2019.
  • Soudari, M. – Kaparin, V. – Srinivasan, S. – Seshadhri, S. – Kotta, Ü.: Predictive smart thermostat controller for heating, ventilation, and air-conditioning systems. Proceedings of the Estonian Academy of Sciences, no. 3, vol. 67, pp. 291-299, 2018.
  • Park, J.Y. – Nagy, Z.: Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review. Renewable and Sustainable Energy Reviews, vol. 82, pp. 2664-2679, 2018.
  • Alexandru, Andreea B. – Pappas, George J.: Encrypted LQG using Labeled Homomorphic Encryption. In Iccps `19: Proceedings of the 2019 10th Acm/IEEE International Conference on Cyber-physical Systems, pp. 129-140, 2019.
  • Ngarambe, J. – Yun, G.Y. – Santamouris, M.: The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls. Energy and Buildings, no. 109807, vol. 211, 2020.
J. Oravec – S. Blažek – M. Kvasnica: Simplification of Explicit MPC Solutions via Inner and Outer Approximations. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 389–394, 2013.
  • Number of citations       2
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Chen, Yang – Ren, Shiwen – Chen, Zhihuan – Chen, Mengqing – Wu, Huaiyu: Path Planning for Vehicle-borne System Consisting of Multi Air-ground Robots. Robotica, no. 3, vol. 38, pp. 493-511, 2020.
J. Števek – M. KvasnicaM. Fikar: Towards a dominant-polytope complexity reduction in Explicit MPC. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 124–129, 2013.
  • Number of citations       4
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Zhang, Ju – Xiu, Xiaojie: K-d tree based approach for point location problem in explicit model predictive control. Journal of the Franklin Institute-engineering and Applied Mathematics, no. 13, vol. 355, pp. 5431-5451, 2018.
  • Dantas, Amanda D. O. S. – Dantas, Andre F. O. A. – Almeida, Tulio F. D. – Dorea, Carlos E. T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, no. 14, vol. 51, pp. 2533-2548, 2020.
  • Xiu, Xiaojie – Zhang, Ju: Grid k-d tree approach for point location in polyhedral data sets - application to explicit MPC. International Journal of Control, no. 4, vol. 93, pp. 872-880, 2020.
M. Kvasnica – J. Hledík – I. Rauová – M. Fikar: Complexity reduction of explicit model predictive control via separation. Automatica, no. 6, vol. 49, pp. 1776–1781, 2013.
  • Number of citations       20
  • Yan, Zheng – Wang, Jun: Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization. IEEE Transactions on Neural Networks and Learning Systems, no. 4, vol. 26, pp. 840-850, 2015.
  • Nguyen, N. A. – Olaru, S. – Rodriguez-Ayerbe, P. – Hovd, M. – Necoara, I.: Developments in Model-Based Optimization and Control, Springer, 2015.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P.: Any discontinuous PWA function is optimal solution to a parametric linear programming problem. In 54th Annual Conference on Decision and Control, Osaka, Japan, pp. 5926-5931, 2015.
  • Gulan, M. – Nguyen, N. – Olaru, S. – Rodriguez-Ayerbe, P. – Rohal’-Ilkiv, B.: Implications of Inverse Parametric Optimization in Model Predictive Control. In Developments in Model-Based Optimization and Control, Editor(s): Olaru, Sorin and Grancharova, Alexandra and Lobo Pereira, Fernando, Springer, pp. 49-70, 2015.
  • Chen, Y. – Li, S. – Li, N.: Complexity reduced explicit model predictive control by solving approximated mp-QP program. In Control Conference (ASCC), 2015 10th Asian, pp. 1-6, 2015.
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Gulan, M. – Takács, G. – Anh Nguyen, N. – Olaru, S. – Rodriguez-Ayerbe, P. – Rohaľ-Ilkiv, B.: Embedded linear model predictive control for 8-bit microcontrollers via convex lifting. IFAC-PapersOnLine, no. 1, vol. 50, pp. 10697-10704, 2017.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P. – Gulan, M.: Construction of convex liftings based on halfspace representation. In Proceedings of the American Control Conference, pp. 3048-3053, 2017.
  • Nguyen, Ngoc Anh – Gulan, Martin – Olaru, Sorin – Rodriguez-Ayerbe, Pedro: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, 2017.
  • Chen, S. – Saulnier, K. – Atanasov, N. – Lee, D.D. – Kumar, V. – Pappas, G.J. – Morari, M.: Approximating Explicit Model Predictive Control Using Constrained Neural Networks. In Proceedings of the American Control Conference, pp. 1520-1527, 2018.
  • Nguyen, N.A. – Gulan, M. – Olaru, S. – Rodriguez-Ayerbe, P.: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, no. 5, vol. 63, pp. 1243-1258, 2018.
  • Arezoo, Jamal – Salahshoor, Karim: Complexity Reduction of Explicit Model Predictive Control via Combining Separator Function and Binary Search Trees. American Journal of Computer Science and Technology, no. 1, vol. 1, pp. 19--23, 2018.
  • Gersnoviez, Andres – Brox, Maria – Baturone, Iluminada: High-Speed and Low-Cost Implementation of Explicit Model Predictive Controllers. IEEE Transactions on Control Systems Technology, no. 2, vol. 27, pp. 647-662, 2019.
  • Gulan, Martin – Takacs, Gergely – Ngoc Anh Nguyen – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – Rohal-Ilkiv, Boris: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, no. 1, vol. 27, pp. 48-62, 2019.
  • Zhang, X. – Bujarbaruah, M. – Borrelli, F.: Safe and near-optimal policy learning for model predictive control using primal-dual neural networks. In Proceedings of the American Control Conference, pp. 354-359, 2019.
  • Dantas, Amanda D. O. S. – Dantas, Andre F. O. A. – Almeida, Tulio F. D. – Dorea, Carlos E. T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, no. 14, vol. 51, pp. 2533-2548, 2020.
  • Xiu, Xiaojie – Zhang, Ju: Grid k-d tree approach for point location in polyhedral data sets - application to explicit MPC. International Journal of Control, no. 4, vol. 93, pp. 872-880, 2020.
  • Wehr, M. – Schatzler, S. – Abel, D. – Hirt, G.: Model Predictive Control of an Overactuated Roll Gap with a Moving Manipulated Variable. In Proceedings of the American Control Conference, pp. 1931-1936, 2020.
  • Kis, K. – Klauco, M. – Meszaros, A.: Neural Network Controllers in Chemical Technologies. In SOSE 2020 - IEEE 15th International Conference of System of Systems Engineering, Proceedings, pp. 397-401, 2020.
A. Beccuti – M. Kvasnica – G. Papafotiou – M. Morari: A Decentralized Explicit Predictive Control Paradigm for Parallelized DC-DC Circuits. IEEE Transactions on Control Systems Technology, no. 1, vol. 21, pp. 136–148, 2013.
  • Number of citations       27
  • Peyrl, Helfried – Zanarini, Alessandro – Besselmann, Thomas – Liu, Junyi – Boechat, Marc-Alexandre: Parallel implementations of the fast gradient method for high-speed MPC. Control Engineering Practice, vol. 33, pp. 22-34, 2014.
  • Kazemlou, Shaghayegh – Mehraeen, Shahab: Decentralized Discrete-Time Adaptive Neural Network Control of Interconnected DC Distribution System. IEEE Transactions on Smart Grid, no. 5, vol. 5, pp. 2496-2507, 2014.
  • Tri Tran: Dependable Model Predictive Control for Reliable Constrained Systems. In 2013 International Conference on Control, Automation and Information Sciences (iccais), 2013.
  • Moayedi, S. – Davoudi, A.: Distributed cooperative load sharing in parallel DC-DC converters. In Applied Power Electronics Conference and Exposition (APEC), 2014 Twenty-Ninth Annual IEEE, pp. 2907-2912, 2014.
  • Long, Rong – Quan, Shuhai – Zhang, Liyan – Chen, Qihong – Zeng, Chen – Ma, Longhua: Current sharing in parallel fuel cell generation system based on model predictive control. International Journal of Hydrogen Energy, no. 35, vol. 40, pp. 11587-11594, 2015.
  • Zhan, Difu – Wei, Li – Zhang, Yicheng – Yao, Yongtao: A Generalized Model of Nonisolated Multiphase DC-DC Converter Based on Novel Switching Period Averaging Method. IEEE Transactions on Power Electronics, no. 9, vol. 30, pp. 5181-5191, 2015.
  • Gui, H.-D. – Zhang, Y. – Zhang, Z. – Liu, Y.-F.: An optimized efficiency-based control strategy for islanded paralleled PV micro-converters. In Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, pp. 229-234, 2015.
  • Sarvi, M. – Derakhshan, M. – Sedighizadeh, M.: A new intelligent controller for parallel DC/DC converters. International Journal of Engineering, Transactions A: Basics, no. 1, vol. 27, pp. 131-142, 2014.
  • Zhou, K. – Sun, M. – Chen, Z.: Application of fast explicit predictive control in inverted pendulum system. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, no. 9, vol. 35, pp. 2037-2044, 2014.
  • Yahaya, Jabbar A. F. – Mansor, Muhamad: Model Predictive Control for Current Balancing in a Four-Phase Buck Converter. International Journal of Renewable Energy Research, no. 2, vol. 6, pp. 527-534, 2016.
  • Liu, J. – Huang, Z. – Peng, J. – Wang, J. – Li, L.: An explicit predictive current-sharing control for parallel charging systems with nonlinear dynamics. In Proceedings of the American Control Conference, pp. 6821-6826, 2016.
  • Wang, Q. – Gong, R. – Qin, L. – Feng, Z.: Distributed hybrid modeling and optimal control of a parallel buck DC/DC converter. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, no. 5, vol. 36, pp. 1336-1343, 2016.
  • Di Capua, G. – Femia, N.: A Novel Method to Predict the Real Operation of Ferrite Inductors With Moderate Saturation in Switching Power Supply Applications. IEEE Transactions on Power Electronics, no. 3, vol. 31, pp. 2456-2464, 2016.
  • Zhang, X. – Yin, C. – Bai, H.: Fixed-boundary-layer Sliding-mode and Variable Switching Frequency Control for a Bidirectional DC–DC Converter in Hybrid Energy Storage System. Electric Power Components and Systems, no. 13, vol. 45, pp. 1474-1485, 2017.
  • Cimini, G. – Ippoliti, G. – Orlando, G. – Longhi, S. – Miceli, R.: A unified observer for robust sensorless control of DC–DC converters. Control Engineering Practice, vol. 61, pp. 21-27, 2017.
  • Vazquez, S. – Rodriguez, J. – Rivera, M. – Franquelo, L.G. – Norambuena, M.: Model Predictive Control for Power Converters and Drives: Advances and Trends. IEEE Transactions on Industrial Electronics, no. 2, vol. 64, pp. 935-947, 2017.
  • Zhong, Z. – Guan, M. – Liu, X. – Zheng, H.: Piecewise affine modeling and explicit model predictive control for non-inverting buck-boost DC-DC converter. Acta Technica CSAV (Ceskoslovensk Akademie Ved), no. 1, vol. 62, pp. 109-121, 2017.
  • Hejri, M. – Giua, A. – Mokhtari, H.: On the complexity and dynamical properties of mixed logical dynamical systems via an automaton-based realization of discrete-time hybrid automaton. International Journal of Robust and Nonlinear Control, no. 16, vol. 28, pp. 4713-4746, 2018.
  • Saeed, J. – Hasan, A.: Unit Prediction Horizon Binary Search-Based Model Predictive Control of Full-Bridge DC-DC Converter. IEEE Transactions on Control Systems Technology, no. 2, vol. 26, pp. 463-474, 2018.
  • Yahaya, J.A. – Mansor, M. – Sulaiman, S.: Improvement of speed response in four-phase DC-DC converter switching using two shunt voltage-source. IET Power Electronics, no. 2, vol. 11, pp. 364-372, 2018.
  • Yang, J. – Cui, H. – Li, S. – Zolotas, A.: Optimized Active Disturbance Rejection Control for DC-DC Buck Converters With Uncertainties Using a Reduced-Order GPI Observer. IEEE Transactions on Circuits and Systems I: Regular Papers, no. 2, vol. 65, pp. 832-841, 2018.
  • Yahaya, J.A.F. – Mansor, M.: Current control scheme for unbalanced current distribution in a four-phase converter. In 2017 IEEE Conference on Energy Conversion, CENCON 2017, pp. 96-99, 2018.
  • Zhang, Chuanlin – Yan, Yunda – Yu, Haoyong: Global Dynamic Nonrecursive Realization of Decentralized Nonsmooth Exact Tracking for Large-Scale Interconnected Nonlinear Systems. IEEE transactions on cybernetics, no. 99, pp. 1--11, 2018.
  • Yuan, Hai-Bo – Kim, Young-Bae: Equivalent input disturbance observer-based ripple-free deadbeat control for voltage regulation of a DC-DC buck converter. Iet Power Electronics, no. 12, vol. 12, pp. 3272-3279, 2019.
  • Zhang, Chuanlin – Yan, Yunda – Yu, Haoyong: Global Dynamic Nonrecursive Realization of Decentralized Nonsmooth Exact Tracking for Large-Scale Interconnected Nonlinear Systems. IEEE Transactions on Cybernetics, no. 9, vol. 49, pp. 3521-3531, 2019.
  • Kang, Longyun – Cheng, Jiancai – Hu, Bihua – Luo, Xuan – Zhang, Jianbin: A Simplified Optimal-Switching-Sequence MPC with Finite-Control-Set Moving Horizon Optimization for Grid-Connected Inverter. Electronics, no. 4, vol. 8, 2019.
  • Hausberger, T. – Kugi, A. – Eder, A. – Kemmetmüller, W.: High-speed nonlinear model predictive control of an interleaved switching DC/DC-converter. Control Engineering Practice, no. 104576, vol. 103, 2020.
J. Števek – A. Szűcs – M. KvasnicaM. Fikar – Š. Kozák: Two steps piecewise affine identification of nonlinear systems. Archives of Control Sciences, no. 4, vol. 22, pp. 371–388, 2012.
  • Number of citations       1
  • Zhuge, Jinjun – Ierapetritou, Marianthi G.: An integrated framework for scheduling and control using fast model predictive control. Aiche Journal, no. 10, vol. 61, pp. 3304-3319, 2015.
M. Kvasnica – J. Hledík – M. Fikar: Reducing the Memory Footprint of Explicit MPC Solutions by Partial Selection. In IEEE Conference on Decision and Control, Maui, Hawaii, pp. 4537–4542, 2012.
  • Number of citations       1
  • Nielsen, I. – Axehill, D.: Reduced Memory Footprint in Multiparametric Quadratic Programming by Exploiting Low Rank Structure. arXiv preprint arXiv:1603.05034, 2016.
M. Kvasnica – R. Gondhalekar – A. Szűcs – M. Fikar: Stabilizing Refinement of Low-Complexity MPC Controllers. In Preprints of 4th IFAC Nonlinear Model Predictive Control Conference, pp. 400–405, 2012.
  • Number of citations       1
  • Sredojev, S. – Eaton, R.: Stabilizing predictive controller for singular systems. In 2013 21st Mediterranean Conference on Control and Automation, MED 2013 - Conference Proceedings, pp. 1386-1392, 2013.
M. KvasnicaM. Fikar: Clipping-Based Complexity Reduction in Explicit MPC. IEEE Transactions on Automatic Control, no. 7, vol. 57, pp. 1878–1883, 2012.
  • Number of citations       28
  • Bayat, F. – Johansen, T. A.: Multi-resolution explicit model predictive control: Delta-model formulation and approximation. IEEE Transactions on Automatic Control, no. 11, vol. 58, pp. 2979-2984, 2013.
  • Rubagotti, Matteo – Barcelli, Davide – Bemporad, Alberto: Robust explicit model predictive control via regular piecewise-affine approximation. International Journal of Control, no. 12, vol. 87, pp. 2583-2593, 2014.
  • Zhao, Meng – Tang, Xiaoming: Robust Tube-Based MPC with Piecewise Affine Control Laws. Abstract and Applied Analysis, no. 358148, 2014.
  • Nguyen, N. A. – Olaru, S. – Rodriguez-Ayerbe, P. – Hovd, M. – Necoara, I.: Developments in Model-Based Optimization and Control, Springer, 2015.
  • Knyazev, A. – Zhu, P. – Di Cairano, S.: Explicit model predictive control accuracy analysis. In 54th Annual Conference on Decision and Control, Osaka, Japan, pp. 2389-2394, 2015.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P.: Any discontinuous PWA function is optimal solution to a parametric linear programming problem. In 54th Annual Conference on Decision and Control, Osaka, Japan, pp. 5926-5931, 2015.
  • Bayat, F.: On the performance of observer-based explicit model predictive control. Transactions of the Institute of Measurement and Control, no. 6, vol. 37, pp. 769-779, 2015.
  • Chen, Y. – Li, S. – Li, N.: Complexity reduced explicit model predictive control by solving approximated mp-QP program. In Control Conference (ASCC), 2015 10th Asian, pp. 1-6, 2015.
  • Gulan, M. – Nguyen, N. – Olaru, S. – Rodriguez-Ayerbe, P. – Rohal’-Ilkiv, B.: Implications of Inverse Parametric Optimization in Model Predictive Control. In Developments in Model-Based Optimization and Control, Editor(s): Olaru, Sorin and Grancharova, Alexandra and Lobo Pereira, Fernando, Springer, pp. 49-70, 2015.
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Takacs, Gergely – Batista, Gabriel – Gulan, Martin – Rohaľ-Ilkiv, B.: Embedded explicit model predictive vibration control. Mechatronics, vol. 36, pp. 54-62, 2016.
  • Airan, Astha – Bhushan, Mani – Bhartiya, Sharad: Linear Machine Solution to Point Location Problem. IEEE Transactions on Automatic Control, no. 3, vol. 62, pp. 1403-1410, 2017.
  • Zavitsanou, Stamatina – Chakrabarty, Ankush – Dassau, Eyal – Doyle, III, Francis J.: Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas. Processes, no. 4, vol. 4, 2016.
  • Gulan, M. – Takács, G. – Anh Nguyen, N. – Olaru, S. – Rodriguez-Ayerbe, P. – Rohaľ-Ilkiv, B.: Embedded linear model predictive control for 8-bit microcontrollers via convex lifting. IFAC-PapersOnLine, no. 1, vol. 50, pp. 10697-10704, 2017.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P. – Gulan, M.: Construction of convex liftings based on halfspace representation. In Proceedings of the American Control Conference, pp. 3048-3053, 2017.
  • Nguyen, Ngoc Anh – Gulan, Martin – Olaru, Sorin – Rodriguez-Ayerbe, Pedro: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, 2017.
  • Gulan, Martin – Takacs, Gergely – Nguyen, Ngoc Anh – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – others: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, 2017.
  • Dantas, Amanda D. O. S. – Dantas, Andre F. O. A. – Almeida, Tulio F. D. – Dorea, Carlos E. T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, no. 14, vol. 51, pp. 2533-2548, 2020.
  • Ngoc Anh Nguyen – Gulan, Martin – Olaru, Sorin – Rodriguez-Ayerbe, Pedro: Convex Lifting: Theory and Control Applications. IEEE Transactions on Automatic Control, no. 5, vol. 63, pp. 1243-1258, 2018.
  • Chen, S. – Saulnier, K. – Atanasov, N. – Lee, D.D. – Kumar, V. – Pappas, G.J. – Morari, M.: Approximating Explicit Model Predictive Control Using Constrained Neural Networks. In Proceedings of the American Control Conference, pp. 1520-1527, 2018.
  • Arezoo, Jamal – Salahshoor, Karim: Complexity Reduction of Explicit Model Predictive Control via Combining Separator Function and Binary Search Trees. American Journal of Computer Science and Technology, no. 1, vol. 1, pp. 19--23, 2000.
  • Maddalena, Emilio Tanowe – Harrop Galvao, Roberto Kawakami – Magalhaes Afonso, Rubens Junqueira: Robust region elimination for piecewise affine control laws. Automatica, vol. 99, pp. 333-337, 2019.
  • Gulan, Martin – Takacs, Gergely – Ngoc Anh Nguyen – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – Rohal\\\'-Ilkiv, Boris: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, no. 1, vol. 27, pp. 48-62, 2019.
  • Quan, Y.S. – Chung, C.C.: Approximate Model Predictive Control with Recurrent Neural Network for Autonomous Driving Vehicles. In 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019, pp. 1076-1081, 2019.
  • Zhang, X. – Bujarbaruah, M. – Borrelli, F.: Safe and near-optimal policy learning for model predictive control using primal-dual neural networks. In Proceedings of the American Control Conference, pp. 354-359, 2019.
  • Quan, Y.S. – Kim, J.S. – Lee, S.-H. – Chung, C.C.: Multi-Model Recurrent Neural Network Control for Lane Change Systems under Speed Variation. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020, 2020.
  • Wehr, M. – Schatzler, S. – Abel, D. – Hirt, G.: Model Predictive Control of an Overactuated Roll Gap with a Moving Manipulated Variable. In Proceedings of the American Control Conference, pp. 1931-1936, 2020.
  • Metzler, Mathias – Tavernini, Davide – Gruber, Patrick – Sorniotti, Aldo: On Prediction Model Fidelity in Explicit Nonlinear Model Predictive Vehicle Stability Control. IEEE Transactions on Control Systems Technology, no. 5, vol. 29, pp. 1964-1980, 2021.
A. Szűcs – M. KvasnicaM. Fikar: Optimal Piecewise Affine Approximations of Nonlinear Functions Obtained from Measurements. In 4th IFAC Conference on Analysis and Design of Hybrid Systems, Eindhoven, Netherlands, pp. 160–165, 2012.
  • Number of citations       4
  • LIYAS, N.: MODEL LALU LINTAS BERBASIS KENDALI PREDIKTIF: PENDEKATAN PIECEWISE-AFFINE BERDASARKAN METANET. 2016.
  • Kumtepeli, V. – Zhao, Y. – Naumann, M. – Tripathi, A. – Wang, Y. – Jossen, A. – Hesse, H.: Design and analysis of an aging-aware energy management system for islanded grids using mixed-integer quadratic programming. International Journal of Energy Research, no. 9, vol. 43, pp. 4127-4147, 2019.
  • Domek, S.: Switched Fractional State-Space Predictive Control Methods for Non-Linear Fractional Systems. Lecture Notes in Electrical Engineering, vol. 559, pp. 113-127, 2020.
  • Hesse, H.C. – Kumtepeli, V. – Schimpe, M. – Reniers, J. – Howey, D.A. – Tripathi, A. – Wang, Y. – Jossen, A.: Ageing and efficiency aware battery dispatch for arbitrage markets using mixed integer linear programming. Energies, no. 6, vol. 12, 2019.
J. Števek – A. Szűcs – M. Kvasnica – Š. Kozák – M. Fikar: Smart technique for identifying hybrid systems. Editor(s): Anikó Szakál, In Proceedings of IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, IEEE, vol. 10, pp. 383–388, 2012.
  • Number of citations       2
  • Lopes, Renato Vilela: D EVELOPMENT OF NEW METHODOLOGIES BASED IN CLUSTERING FOR IDENTIFICATION OF HYBRID DINAMIC SYSTEMS IN STATE SPACE FORMS. 2014.
  • Kumtepeli, V. – Zhao, Y. – Naumann, M. – Tripathi, A. – Wang, Y. – Jossen, A. – Hesse, H.: Design and analysis of an aging-aware energy management system for islanded grids using mixed-integer quadratic programming. International Journal of Energy Research, no. 9, vol. 43, pp. 4127-4147, 2019.
A. Szűcs – M. KvasnicaM. Fikar: A Memory-Efficient Representation of Explicit MPC Solutions. In Proceedings of the 50th CDC and ECC, Orlando, Florida, pp. 1916–1921, 2011.
  • Number of citations       7
  • Grancharova, A. – Johansen, T. A.: Explicit Nonlinear Model Predictive Control, Springer, 2012.
  • Danielson, Claus – Borrelli, Francesco: Symmetric Linear Model Predictive Control. IEEE Transactions on Automatic Control, no. 5, vol. 60, pp. 1244-1259, 2015.
  • Chakrabarty, Ankush – Dinh, Vu – Corless, Martin J. – Rundell, Ann E. – Zak, Stanislaw H. – Buzzard, Gregery T.: Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences. IEEE Transactions on Automatic Control, no. 1, vol. 62, pp. 135-148, 2017.
  • Findeisen, R. – Graichen, K. – Mönnigmann, M.: Embedded optimization in control: An introduction, opportunities, and challenges [Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen]. At-Automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
  • Chakrabarty, Ankush – Zavitsanou, Stamatina – Doyle, III, Francis J. – Dassau, Eyal: Event-Triggered Model Predictive Control for Embedded Artificial Pancreas Systems. IEEE Transactions on Biomedical Engineering, no. 3, vol. 65, pp. 575-586, 2018.
  • Wang, J. – Wang, Q.: Output-Tracking Explicit Nonlinear Model Predictive Control for Microbial Desalination Cells. In 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018, pp. 929-934, 2018.
  • Wang, Jing – Wang, Qilun: Intelligent explicit model predictive control based on machine learning for microbial desalination cells. Proceedings of the Institution of Mechanical Engineers Part I-journal of Systems and Control Engineering, no. 7, SI, vol. 233, pp. 751-763, 2019.
M. Kvasnica – J. Löfberg – M. Fikar: Stabilizing polynomial approximation of explicit MPC. Automatica, no. 10, vol. 47, pp. 2292–2297, 2011.
  • Number of citations       26
  • Grancharova, A. – Johansen, T. A.: Explicit Nonlinear Model Predictive Control, Springer, 2012.
  • Oishi,Y.: Direct design of a polynomial model predictive controller. In IFAC Proceedings ROCOND 2012, pp. 633-638, 2012.
  • Grancharova, A. – Johansen, T.A.: Multi-parametric programming. Lecture Notes in Control and Information Sciences, vol. 429, pp. 1-37, 2012.
  • Bayat, F. – Johansen, T. A.: Multi-Resolution Explicit Model Predictive Control: Delta-Model Formulation and Approximation. IEEE Transactions on Automatic Control, no. 11, vol. 58, pp. 2979-2984, 2013.
  • Oishi, Y.: Polynomial design of model predictive controllers: Simplified approaches. In Proceedings of the SICE Annual Conference, pp. 235-240, 2013.
  • Oishi, Y.: Simplified approaches to polynomial design of model predictive controllers. In IEEE International Conference on Control Applications (CCA), pp. 960-965, 2013.
  • Veselý, V. – Rosinová, D. – Quang, T. N.: Networked output feedback robust predictive controller design. International Journal of Innovative Computing, Information and Control, no. 10, vol. 9, pp. 3941-3953, 2013.
  • Rubagotti, Matteo – Barcelli, Davide – Bemporad, Alberto: Robust explicit model predictive control via regular piecewise-affine approximation. International Journal of Control, no. 12, vol. 87, pp. 2583-2593, 2014.
  • Hredzak, B. – Agelidis, V.G. – Demetriades, G.: Application of explicit model predictive control to a hybrid battery-ultracapacitor power source. Journal of Power Sources, vol. 277, pp. 84-94, 2015.
  • Mohammadkhani, MohammadAli – Bayat, Farhad – Jalali, Ali Akbar: Two-stage observer based offset-free MPC. Isa Transactions, vol. 57, pp. 136-143, 2015.
  • Bayat, Farhad: On the performance of observer-based explicit model predictive control. Transactions of the Institute of Measurement and Control, no. 6, vol. 37, pp. 769-779, 2015.
  • Knyazev, A. – Zhu, P. – Di Cairano, S.: Explicit model predictive control accuracy analysis. In 54th Annual Conference on Decision and Control, Osaka, Japan, pp. 2389-2394, 2015.
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Munir, S. – Hovd, M. – Sandou, G. – Olaru, S.: Controlled contractive sets for low-complexity constrained control. In Proceedings of the IEEE International Symposium on Computer-Aided Control System Design, pp. 856-861, 2016.
  • Wei, C. – Luo, J. – Dai, H. – Yin, Z. – Ma, W. – Yuan, J.: Globally robust explicit model predictive control of constrained systems exploiting SVM‐based approximation. International Journal of Robust and Nonlinear Control, 2016.
  • Koduri, R. – Rodriguez-Ayerbe, P. – Olaru, S.: Robustness margin for piecewise affine explicit control law. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 2327-2332, 2016.
  • Mejías, M. A. H.: Control Predictivo Basado en Escenarios para Sistemas Lineales con Saltos Markovianos. 2016.
  • Wei, Caisheng – Luo, Jianjun – Dai, Honghua – Yin, Zeyang – Ma, Weihua – Yuan, Jianping: Globally robust explicit model predictive control of constrained systems exploiting SVM-based approximation. International Journal of Robust and Nonlinear Control, no. 16, vol. 27, pp. 3000-3027, 2017.
  • Peng, Haijun – Li, Fei – Zhang, Sheng – Chen, Biaosong: A novel fast model predictive control with actuator saturation for large-scale structures. Computers & Structures, vol. 187, pp. 35-49, 2017.
  • Van Loock, W. – Lambrechts, E. – Hilhorst, G. – Pipeleers, G.: Approximate parametric cone programming with applications in control. In 2016 European Control Conference, ECC 2016, pp. 178-183, 2017.
  • Findeisen, Rolf – Graichen, Knut – Mönnigmann, M.: Embedded optimization in control: an introduction, opportunities, and challenges. At-automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
  • Karg, Benjamin – Lucia, Sergio: Efficient representation and approximation of model predictive control laws via deep learning. arXiv preprint arXiv:1806.10644, 2018.
  • Maddalena, Emilio Tanowe – Harrop Galvao, Roberto Kawakami – Magalhaes Afonso, Rubens Junqueira: Robust region elimination for piecewise affine control laws. Automatica, vol. 99, pp. 333-337, 2019.
  • Karg, Benjamin – Lucia, Sergio: Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Transactions on Cybernetics, no. 9, vol. 50, pp. 3866-3878, 2020.
  • Petras, Ivo: Novel Fractional-Order Model Predictive Control: State-Space Approach. IEEE ACCess, no. TK1HT, vol. 9, pp. 92769-92775, 2021.
M. Kvasnica – A. Szűcs – M. Fikar: Automatic Derivation of Optimal Piecewise Affine Approximations of Nonlinear Systems. In Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011, pp. 8675–8680, 2011.
  • Number of citations       7
  • Groot, N. – De Schutter, B. – Hellendoorn, H.: Integrated model predictive traffic and emission control using a piecewise-affine approach. IEEE Transactions on Intelligent Transportation Systems, no. 2, vol. 14, pp. 587-598, 2013.
  • Kmetova, J. – Vasickaninova, A. – Dvoran, J.: Neuro-fuzzy control of exothermic chemical reactor. In Proceedings of the 2013 International Conference on Process Control, PC 2013, pp. 168-172, 2013.
  • Zhuge, Jinjun – Ierapetritou, Marianthi G.: An integrated framework for scheduling and control using fast model predictive control. Aiche Journal, no. 10, vol. 61, pp. 3304-3319, 2015.
  • Wang, Y. – Ning, B. – van den Boom, T. – De Schutter, B.: OD-Independent Train Scheduling for an Urban Rail Transit Line, Chapter: In Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems. Springer International Publishing, pp. 81-108, 2016.
  • Honek, M. – Gulan, M. – Vlad, C. – Rohaľ-Ilkiv, B.: Hybrid MPC for gasoline engine air-fuel ratio control using optimal PWA approximation. IFAC-PapersOnLine, no. 1, vol. 50, pp. 2878-2885, 2017.
  • Kumtepeli, V. – Zhao, Y. – Naumann, M. – Tripathi, A. – Wang, Y. – Jossen, A. – Hesse, H.: Design and analysis of an aging-aware energy management system for islanded grids using mixed-integer quadratic programming. International Journal of Energy Research, no. 9, vol. 43, pp. 4127-4147, 2019.
  • Kumtepeli, Volkan – Hesse, Holger C. – Schimpe, Michael – Tripathi, Anshuman – Wang, Youyi – Jossen, Andreas: Energy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models. IEEE Access, vol. 8, pp. 204325-204341, 2020.
I. Rauová – R. ValoM. KvasnicaM. Fikar: Real-Time Model Predictive Control of a Fan Heater via PLC. Editor(s): Fikar, M., Kvasnica. M., In Proceedings of the 18th International Conference on Process Control, Slovak University of Technology in Bratislava, Tatranská Lomnica, Slovakia, pp. 388–393, 2011.
  • Number of citations       5
  • Gutierrez-Urquidez, R. C. – Valencia-Palomo, G. – Rodriguez-Elias, O. M. – Trujillo, L.: Systematic selection of tuning parameters for efficient predictive controllers using a multiobjective evolutionary algorithm. Applied Soft Computing, vol. 31, pp. 326-338, 2015.
  • Purohit, A. – Buch, J.: Evaluation of optimization solvers on programmable logic controller. In Control Applications (CCA), 2015 IEEE Conference on, pp. 533-538, 2015.
  • Rüting, A. – Blumenthal, L. M. – Trächtler, A.: Model predictive feedforward compensation for control of multi axes hybrid kinematics on PLC. In Industrial Electronics Society, IECON 2016-42nd Annual Conference of the IEEE, pp. 583-588, 2016.
  • Klopot, Tomasz – Skupin, Piotr – Metzger, Mieczyslaw – Grelewicz, Patryk: Tuning strategy for dynamic matrix control with reduced horizons. Isa Transactions, vol. 76, pp. 145-154, 2018.
  • Manuel Escano, Juan – Sanchez, Adolfo J. – Witheephanich, Kritchai – Roshany-Yamchi, Samira – Bordons, Carlos: Explicit simplified MPC with an adjustment parameter adapted by a fuzzy system. Journal of Intelligent & Fuzzy Systems, no. 1, vol. 37, pp. 1287-1298, 2019.
L. Cseko – M. Kvasnica – B. Lantos: Analysis of the explicit model predictive control for semi-active suspension. Periodica Polytechnica, no. 1-2, vol. 54, pp. 41–58, 2010.
  • Number of citations       10
  • Liu, Y. – Zuo, L. – Tang, X.: Regenerative vibration control of tall buildings using Model Predictive Control. In ASME 2013 Dynamic Systems and Control Conference, DSCC 2013, 2013.
  • Wang, W. – Xi, J.: Study of semi-active suspension control strategy based on driving behaviour characteristics. International Journal of Vehicle Design, no. 1-3, vol. 68, pp. 141-161, 2015.
  • Wei, C. – Luo, J. – Dai, H. – Yin, Z. – Ma, W. – Yuan, J.: Globally robust explicit model predictive control of constrained systems exploiting SVM‐based approximation. International Journal of Robust and Nonlinear Control, 2016.
  • Wei, C. – Luo, J. – Dai, H. – Yin, Z. – Ma, W. – Yuan, J.: Globally robust explicit model predictive control of constrained systems exploiting SVM-based approximation. International Journal of Robust and Nonlinear Control, no. 16, vol. 27, pp. 3000-3027, 2017.
  • Dessort, Ronnie – Chucholowski, C: Explicit model predictive control of semi-active suspension systems using Artificial Neural Networks (ANN). In 8th International Munich Chassis Symposium 2017, pp. 207--228, 2017.
  • Nie, S. – Zhuang, Y. – Chen, F. – Wang, Y. – Liu, S.: A method to eliminate unsprung adverse effect of in-wheel motor-driven vehicles. Journal of Low Frequency Noise Vibration and Active Control, no. 4, vol. 37, pp. 955-976, 2018.
  • Madhavan Rathai, K.M. – Alamir, M. – Sename, O. – Tang, R.: A Parameterized NMPC Scheme for Embedded Control of Semi-active Suspension System. IFAC-PapersOnLine, no. 20, vol. 51, pp. 301-306, 2018.
  • Madhavan Rathai, K.M. – Sename, O. – Alamir, M.: Reachability based Model Predictive Control for Semi-active Suspension System. In 2019 5th Indian Control Conference, ICC 2019 - Proceedings, pp. 68-73, 2019.
  • Jiang, H. – Wang, C. – Li, Z. – Liu, C.: Hybrid model predictive control of semiactive suspension in electric vehicle with hub-motor. Applied Sciences (Switzerland), no. 1, vol. 11, pp. 1-24, 2021.
  • Mai, V.N. – Yoon, D.-S. – Choi, S.-B. – Kim, G.-W.: Explicit model predictive control of semi-active suspension systems with magneto-rheological dampers subject to input constraints. Journal of Intelligent Material Systems and Structures, no. 9, vol. 31, pp. 1157-1170, 2020.
M. KvasnicaM. Fikar: Performance-Lossless Complexity Reduction in Explicit MPC. In Proceedings of the 49th IEEE Conference on Decision and Control 2010, pp. 5270–5275, 2010.
  • Number of citations       5
  • Grancharova, A. – Johansen, T.A.: Multi-parametric programming. Lecture Notes in Control and Information Sciences, vol. 429, pp. 1-37, 2012.
  • Suardi, Andrea – Longo, Stefano – Kerrigan, Eric C – Constantinides, George A: In Control Conference (ECC), 2013 European, pp. 3608--3613, 2013.
  • Suardi, A. – Longo, S. – Kerrigan, E.C. – Constantinides, G.A.: Robust explicit MPC design under finite precision arithmetic. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 2939-2944, 2014.
  • Suardi, Andrea – Longo, Stefano – Kerrigan, Eric C. – Constantinides, George A.: Explicit MPC: Hard constraint satisfaction under low precision arithmetic. Control Engineering Practice, vol. 47, pp. 60-69, 2016.
  • Manuel Escano, Juan – Sanchez, Adolfo J. – Witheephanich, Kritchai – Roshany-Yamchi, Samira – Bordons, Carlos: Explicit simplified MPC with an adjustment parameter adapted by a fuzzy system. Journal of Intelligent & Fuzzy Systems, no. 1, vol. 37, pp. 1287-1298, 2019.
M. KvasnicaM. Fikar: Design and Implementation of Model Predictive Control using Multi-Parametric Toolbox and YALMIP. In Proceedings of the 2010 IEEE International Symposium on Computer-Aided Control System Design, Yokohama, Japan, pp. 999–1004, 2010.
  • Number of citations       2
  • Ameen,N. A. – Galal, B. S. – Kennel, R. M. – Kanchan, R. S.: The polynomial approximation of the explicit solution of model-based predictive controller for drive applications. In PRECEDE 2011 - Workshop on Predictive Control of Electrical Drives and Power Electronics, pp. 76-81, 2011.
  • M. BakošováJ. Oravec – M. Kačur: Solution of a Robust Stabilization Problem Using YALMIP and Robust Control Toolboxes. Editor(s): Fikar, M., Kvasnica. M., In Proceedings of the 18th International Conference on Process Control, Slovak University of Technology in Bratislava, Tatranská Lomnica, Slovakia, pp. 326–332, 2011.
M. Kvasnica – I. Rauová – M. Fikar: Automatic Code Generation for Real-Time Implementation of Model Predictive Control. In Proceedings of the 2010 IEEE International Symposium on Computer-Aided Control System Design, Yokohama, Japan, pp. 993–998, 2010.
  • Number of citations       19
  • Huyck, B. – Callebaut, L. – Logist, F. – Ferreau, H.J. – Diehl, M. – De Brabanter, J. – Van Impe, J. – De Moor, B.: Implementation and experimental validation of classic MPC on Programmable Logic Controllers. In Control & Automation (MED), 2012 20th Mediterranean Conference on, pp. 679--684, 2012.
  • Huyck,B. – Ferreau,H. J. – Diehl,M. – De Brabanter,J. – Van Impe,J. F. M. – De Moor,B. – Logist,F.: Towards online model predictive control on a programmable logic controller: Practical considerations. Mathematical Problems in Engineering, vol. 2012, 2012.
  • Strmčnik, S. – Juričić, Đ.: Case Studies in Control. Putting Theory to Work, Chapter: Tracking Explicit Model Predictive Controllers for Low-Level Control Applications. Springer Verlag, 2013.
  • Alexis, K. – Huerzeler, C. – Siegwart, R.: Hybrid modeling and control of a coaxial unmanned rotorcraft interacting with its environment through contact. In Proceedings - IEEE International Conference on Robotics and Automation, pp. 5417-5424, 2013.
  • Huerzeler, C. – Alexis, K. – Siegwart, R.: Explicit constrained optimal trajectory control of an unmanned coaxial rotorcraft. In 21st Mediterranean Conference on Control and Automation, MED 2013 - Conference Proceedings, pp. 363-368, 2013.
  • Gerksic, S.: Tracking Explicit Model Predictive Controllers for Low-Level Control Applications. In Case Studies in Control, pp. 77--100, 2013.
  • Oettershagen, P. – Melzer, A. – Leutenegger, S. – Alexis, K. – Siegwart, R.: Explicit model predictive control and L1-navigation strategies for fixed-wing UAV path tracking. In 22nd Mediterranean Conference on Control and Automation, MED 2014, pp. 1159-1165, 2014.
  • Alexis, K. – Papachristos, C. – Siegwart, R. – Tzes, A.: Robust explicit model predictive flight control of unmanned rotorcrafts: Design and experimental evaluation. In European Control Conference, ECC 2014, pp. 498-503, 2014.
  • Huyck, Bart – De Brabanter, Jos – De Moor, Bart – Van Impe, Jan F. – Logist, Filip: Online model predictive control of industrial processes using low level control hardware: A pilot-scale distillation column case study. Control Engineering Practice, vol. 28, pp. 34-48, 2014.
  • Hredzak, B. – Agelidis, V.G. – Demetriades, G.: Application of explicit model predictive control to a hybrid battery-ultracapacitor power source. Journal of Power Sources, vol. 277, pp. 84-94, 2015.
  • Kufoalor, D. K. M. – Aaker, V. – Johansen, T. A. – Imsland, L. – Eikrem, G. O.: Automatically generated embedded model predictive control: Moving an industrial PC-based MPC to an embedded platform. Optimal Control Applications & Methods, no. 5, SI, vol. 36, pp. 705-727, 2015.
  • Danielson, Claus – Borrelli, Francesco: Symmetric Linear Model Predictive Control. IEEE Transactions on Automatic Control, no. 5, vol. 60, pp. 1244-1259, 2015.
  • Papachristos, C. – Alexis, K. – Tzes, A.: Dual-Authority Thrust--Vectoring of a Tri-TiltRotor employing Model Predictive Control. Journal of Intelligent & Robotic Systems, pp. 1-34, 2015.
  • Alexis, K. – Papachristos, C. – Siegwart, R. – Tzes, A.: Robust Model Predictive Flight Control of Unmanned Rotorcrafts. Journal of Intelligent & Robotic Systems, pp. 1-27, 2015.
  • Alexis, K. – Darivianakis, G. – Burri, M. – Siegwart, R.: Aerial robotic contact-based inspection: planning and control. Autonomous Robots, pp. 1-25, 2015.
  • Chaber, P. – Lawrynczuk, M.: Auto-generation of advanced control algorithms' code for microcontrollers using transcompiler. In 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, pp. 454-459, 2016.
  • Chaber, P. – Ławryńczuk, M.: Implementation of analytical generalized predictive controller for very fast applications using microcontrollers: Preliminary results. Advances in Intelligent Systems and Computing, vol. 577, pp. 378-387, 2017.
  • Chaber, Patryk – Lawrynczuk, Maciej: AutoMATiC: Code Generation of Model Predictive Control Algorithms for Microcontrollers. IEEE Transactions on Industrial Informatics, no. 7, vol. 16, pp. 4547-4556, 2020.
  • Neukirchner, Laszlo Richard – Magyar, Attila – Fodor, Attila – Kutasi, Nimrod Denes – Kelemen, Andras: Constrained Predictive Control of Three-Phase-Buck Rectifiers. Acta Polytechnica Hungarica, no. 1, vol. 17, pp. 41-60, 2020.
M. Kvasnica – J. Löfberg – M. Herceg – Ľ. ČirkaM. Fikar: Low-Complexity Polynomial Approximation of Explicit MPC via Linear Programming. In Proceedings of the American Control Conference, Baltimore, USA, pp. 4713–4718, 2010.
  • Number of citations       11
  • Bayat, F. – Johansen, T. A. – Jalali, A. A.: Combining Truncated Binary Search Tree and Direct Search for Flexible Piecewise Function Evaluation for Explicit MPC in Embedded Microcontrollers. In Preprints of the 18th IFAC World Congress Milano, pp. 1332-1337, 2011.
  • Axehill, D. – Besselmann, T. – Raimondo, D. M. – Morari, M.: Suboptimal Explicit Hybrid MPC via Branch and Bound. In Preprints of the 18th IFAC World Congress Milano, pp. 10281-10286, 2011.
  • Domahidi, A. – Zeilinger, M. N. – Morari, M. – Jones, C. N.: Learning a Feasible and Stabilizing Explicit Model Predictive Control Law by Robust Optimization. In Proceedings of 50th CDC and ECC, Orlando, Florida, pp. 513-519, 2011.
  • Ameen, N.A.-S. – Galal, B.S. – Kennel, R.M. – Kanchan, R.S.: The polynomial approximation of the explicit solution of model-based predictive controller for drive applications. In PRECEDE 2011 - Workshop on Predictive Control of Electrical Drives and Power Electronics, pp. 76-81, 2011.
  • Wang,X. – Grip,H. F. – Saberi,A. – Johansen,T. A.: A new low-and-high gain feedback design using MPC for global stabilization of linear systems subject to input saturation. In Proceedings of the American Control Conference, pp. 2337-2343, 2012.
  • Belda, K. – Vosmik, D.: Speed control of PMSM drives by generalized predictive algorithms. In IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, Montreal, QC, Canada, pp. 2012 -2017, 2012.
  • Jiang, Y. – Zou, Y. – Niu, Y.: An efficient explicit algorithm for multi-rate predictive control systems. International Journal of Modelling, Identification and Control, no. 3, vol. 20, pp. 208-214, 2013.
  • Belda, K.: Mathematical Modelling and Predictive Control of Permanent Magnet Synchronous Motor Drives. Transactions on Electrical Engineering, no. 4, vol. 2, pp. 114-120, 2013.
  • Nguyen, H.-N.: Constrained control of uncertain, time-varying, discrete-time systems: An interpolation-based approach. Lecture Notes in Control and Information Sciences, vol. 451, 2014.
  • Hovd, M. – Olaru, S. – Bitsoris, G.: Low complexity constraint control using contractive sets. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 2933-2938, 2014.
  • Findeisen, Rolf – Graichen, Knut – Mönnigmann, M.: Embedded optimization in control: an introduction, opportunities, and challenges. At-automatisierungstechnik, no. 11, vol. 66, pp. 877-902, 2018.
Ľ. ČirkaM. KalúzM. KvasnicaM. Fikar: Virtual Laboratory. In Proceedings of the 9th International Scientific - Technical Conference Process Control 2010, University of Pardubice, Kouty nad Desnou, Czech Republic, pp. C029a - 1–C029a - 8, 2010.
  • Number of citations       1
  • Malarvizhi, R. – Veena, S. T.: Web-based power flow analysis using Matlab Builder JA. In Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International Conference on, pp. 156 -159, 2011.
M. Kvasnica – M. Herceg – Ľ. ČirkaM. Fikar: Model predictive control of a CSTR: A hybrid modeling approach. Chemical papers, no. 3, vol. 64, pp. 301–309, 2010.
  • Number of citations       17
  • Xin, Li-Ping – Yu, Bo – Zhao, Lin – Yu, Jinpeng: Adaptive fuzzy backstepping control for a two continuous stirred tank reactors process based on dynamic surface control approach. Applied Mathematics and Computation, no. 125138, vol. 377, 2020.
  • Dostál, P. – Vojtěšek, J. – Bobál, V. – Babík, Z.: 2DOF adaptive control of a tubular chemical reactor. World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, Wisconsin, USA, In Proceedings of the 15th WSEAS international conference on Circuits, systems and signals, pp. 39-44, 2011.
  • Dostál, P. – Vojtěšek, J. – Bobál, V. – Babík, Z.: One Approach to Adaptive Control of a Tubular Chemical Reactor. WSEAS Transactions on Fluid Mechanics, no. 1, vol. 7, pp. 13-22, 2012.
  • Dostál, P. – Vojtěšek, J. – Bobál, V.: Simulation of adaptive temperature control in a tubular chemical reactor. International Review on Modelling and Simulations, no. 2, vol. 5, pp. 1049-1058, 2012.
  • Ivanescu, A.M. – Albin, T. – Abel, D. – Seidl, T.: Employing the Principal Hessian Direction for Building Hinging Hyperplane Models. In Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on, pp. 481--485, 2012.
  • Lopez Perez, Pablo Antonio – Neria Gonzalez, M. Isabel – Aguilar Lopez, Ricardo: Cadmium concentration stabilization in a continuous sulfate reducing bioreactor via sulfide concentration control. Chemical Papers, no. 3, vol. 67, pp. 326-335, 2013.
  • Bakosova, M. – Oravec, J. – Matejickova, K.: Model predictive control-based robust stabilization of a chemical reactor. Chemical Papers, no. 9, vol. 67, pp. 1146-1156, 2013.
  • Ping, X. – Ding, B.: Off-line approach to dynamic output feedback robust model predictive control. Systems & Control Letters, no. 11, vol. 62, pp. 1038-1048, 2013.
  • Kroll, Andreas – Schulte, Horst: Benchmark problems for nonlinear system identification and control using Soft Computing methods: Need and overview. Applied Soft Computing, vol. 25, pp. 496-513, 2014.
  • Kaliappan, V. – Thathan, M.: Least square support vector machine based neural network predictive controller for non-linear process. International Journal of Applied Engineering Research, no. 22, vol. 9, pp. 12341-12352, 2014.
  • Dostál, P. – Bobál, V. – Vojtěšek, J. – Chramcov, B.: Adaptive control of nonlinear processes using two methods of parameter estimation. WSEAS Transactions on Systems, vol. 13, pp. 292-301, 2014.
  • Vlahakis, Eleftherios – Halikias, George: Temperature and concentration control of exothermic chemical processes in continuous stirred tank reactors. Transactions of the Institute of Measurement and Control, no. 15, vol. 41, pp. 4274-4284, 2019.
  • Houzhong, Z. – Jiasheng, L. – Chaochun, Y. – Xiaoqiang, S. – Yingfeng, C.: Application of explicit model predictive control to a vehicle semi-active suspension system. Journal of Low Frequency Noise Vibration and Active Control, no. 3, vol. 39, pp. 772-786, 2020.
  • P. Dostál – M. Bakošová – J. Vojtěšek – V. Bobál: Adaptive nonlinear control of a continuous stirred tank reactor. Chemical Papers, no. 5, vol. 65, pp. 636–643, 2011.
  • L. Blahová – J. Dvoran – J. Kmeťová: Neuro-fuzzy control design of processes in chemical technologies. Archives of Control Sciences, no. 2, vol. 22, pp. 233–250, 2012.
  • J. OravecM. Bakošová: Robust Constrained MPC Stabilization of a CSTR. Acta Chimica Slovaca, no. 2, vol. 5, pp. 153–158, 2012.
  • M. BakošováJ. Oravec: Robust MPC of an Unstable Chemical Reactor Using the Nominal System Optimization. Acta Chimica Slovaca, no. 2, vol. 7, pp. 87–93, 2014.
  • Number of citations       70
  • de Almeida, Fabio A.: Reference Management for Fault-Tolerant Model Predictive Control. Journal of Guidance Control and Dynamics, no. 1, vol. 34, pp. 44-56, 2011.
  • Kozak, S. – Stevek, J.: Improved Piecewise Linear Approximation of Nonlinear Functions in Hybrid Control. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 14982--14987, 2011.
  • Hempel, A. – Kominek, A. – Werner, H.: Output-Feedback Controlled-Invariant Sets for Systems with Linear Parameter-Varying State Transition Matrix. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 3422--3427, 2011.
  • Gerkšič, S.: Improving Reliability of Partition Computation in Explicit MPC with MPT Toolbox. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 9260--9265, 2011.
  • Makys, M. – Kozak, S.: Effective method for design of traffic lights control. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 14934--14939, 2011.
  • de Almeida, Fabio A. – Guerra, Eduardo Bento – dOliveira, Flavio Araripe – Mello, Alberto Walter: Constrained Linear Quadratic Tracker for Optimal Flight Performance. Journal of Guidance Control and Dynamics, no. 6, vol. 35, pp. 1911-1918, 2012.
  • Vorel, Jan – Smilauer, Vit – Bittnar, Zdenek: Multiscale simulations of concrete mechanical tests. Journal of Computational and Applied Mathematics, no. 18, SI, vol. 236, pp. 4882-4892, 2012.
  • Eirinakis, Pavlos – Ruggieri, Salvatore – Subramani, K. – Wojciechowski, Piotr: A complexity perspective on entailment of parameterized linear constraints. Constraints, no. 4, vol. 17, pp. 461-487, 2012.
  • Gerksic, S. – Pregelj, B.: Tuning of a tracking multi-parametric predictive controller using local linear analysis. Iet Control Theory and Applications, no. 5, vol. 6, pp. 669-679, 2012.
  • Fang, Z. – Kemeny, A.: Explicit MPC motion cueing algorithm for real-time driving simulator. In Power Electronics and Motion Control Conference (IPEMC), 2012 7th International, pp. 874--878, 2012.
  • Romanko, O. – Ghaffari-Hadigheh, A. – Terlaky, T.: Multiobjective Optimization via Parametric Optimization: Models, Algorithms, and Applications. Modeling and Optimization: Theory and Applications, pp. 77--119, 2012.
  • Eirinakis, P. – Ruggieri, S. – Subramani, K. – Wojciechowski, P.: Computational complexities of inclusion queries over polyhedral sets. In Int. Symposium on Artificial Intelligence and Mathematics (ISAIM 2012), 2012.
  • Alexis, Kostas – Huerzeler, Christoph – Siegwart, Roland: Hybrid modeling and control of a coaxial unmanned rotorcraft interacting with its environment through contact. In Robotics and Automation (ICRA), 2013 IEEE International Conference on, pp. 5417--5424, 2013.
  • Huerzeler, Christoph – Alexis, Kostas – Siegwart, Roland: Explicit constrained optimal trajectory control of an unmanned coaxial rotorcraft. In Control and Automation (MED), 2013 21st Mediterranean Conference on, pp. 363--368, 2013.
  • Montague, Ryan G. – Bingham, Chris – Atallah, Kais: Magnetic Gear Pole-Slip Prevention Using Explicit Model Predictive Control. IEEE-asme Transactions on Mechatronics, no. 5, vol. 18, pp. 1535-1543, 2013.
  • Zhao, Dezong – Liu, Cunjia – Stobart, Richard – Deng, Jiamei – Winward, Edward: Explicit Model Predictive Control on the Air Path of Turbocharged Diesel Engines. In 2013 American Control Conference (ACC), pp. 5213-5218, 2013.
  • Podmajersky, M. – Fikar, M. – Chachuat, B.: Measurement-based optimization of batch and repetitive processes using an integrated two-layer architecture. Journal of Process Control, no. 7, vol. 23, pp. 943-955, 2013.
  • Ruggieri, Salvatore: Learning from polyhedral sets. In Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, pp. 1069--1075, 2013.
  • de Almeida, Fabio A – Escosteguy, Joao Pedro C – d Oliveira, Flavio A: On the maneuverability of small unmanned aerial vehicles. In Unmanned Aircraft Systems (ICUAS), 2013 International Conference on, pp. 89--94, 2013.
  • Stoev, Julian – Pinte, Gregory – Wang, Xin – Swevers, Jan: Classical and Modern Methods for Time-constrained Energy Optimal Motion - Application to a Badminton Robot. In 2013 IEEE International Conference on Mechatronics (icm), 2013.
  • Alexis, Kostas – Huerzeler, Christoph – Siegwart, Roland: Hybrid predictive control of a coaxial aerial robot for physical interaction through contact. Control Engineering Practice, no. SI, vol. 32, pp. 96-112, 2014.
  • Simon, Daniel – Lofberg, Johan – Glad, Torkel: Reference Tracking MPC Using Dynamic Terminal Set Transformation. IEEE Transactions on Automatic Control, no. 10, vol. 59, pp. 2790-2795, 2014.
  • Takacs, Gergely – Rohaľ-Ilkiv, B.: Model predictive control algorithms for active vibration control: a study on timing, performance and implementation properties. Journal of Vibration and Control, no. 13, vol. 20, pp. 2061-2080, 2014.
  • Zhao, Dezong – Liu, Cunjia – Stobart, Richard – Deng, Jiamei – Winward, Edward – Dong, Guangyu: An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines. IEEE Transactions on Industrial Electronics, no. 7, vol. 61, pp. 3540-3552, 2014.
  • Zeilinger, Melanie N. – Morari, Manfred – Jones, Colin N.: Soft Constrained Model Predictive Control With Robust Stability Guarantees. IEEE Transactions on Automatic Control, no. 5, vol. 59, pp. 1190-1202, 2014.
  • Tesarek, Pavel – Nezerka, Vaclav – Padevet, Pavel – Antos, Jakub – Plachy, Tomas: Influence of Aggregate Stiffness on Fracture-Mechanical Properties of Lime-Based Mortars. In Experimental Stress Analysis 51, pp. 289-294, 2014.
  • Vorel, J. – Kucerova, A. – Smilauer, V. – Bittnar, Z.: VIRTUAL TESTING OF CONCRETE. In Engineering Mechanics 2011, pp. 667-670, 2011.
  • Haber, Robert – Bars, Ruth – Schmitz, Ulrich: Generalized Predictive Control of Linear SISO Processes. In Predictive Control in Process Engineering: From the Basics To the Applications, pp. 135-220, 2011.
  • Hovd, Morten – Olaru, Sorin: Piecewise quadratic Lyapunov functions for stability verification of approximate explicit MPC. Modeling Identification and Control, no. 2, vol. 31, pp. 45-53, 2010.
  • Boksuwan, S. – Benjanarasuth, T. – Kanamori, C. – Aoyama, H.: Robust hybrid control for two-dimensional handheld micromanipulator. Journal of Robotics and Mechatronics, no. 3, vol. 26, pp. 331-340, 2014.
  • Askaria, M. – Moghavvemi, M. – Almurib, H.A.F. – Muttaqi, K.M.: An offset-free multivariable model predictive control for quadruple tanks system. In 2014 IEEE Industry Application Society Annual Meeting, IAS 2014, 2014.
  • Alexis, K. – Papachristos, C. – Siegwart, R. – Tzes, A.: Robust explicit model predictive flight control of unmanned rotorcrafts: Design and experimental evaluation. In 2014 European Control Conference, ECC 2014, pp. 498-503, 2014.
  • De Almeida, F.A.: Offline model predictive control based on weighted projection over polytopes. Journal of Applied Mathematics, no. 741348, vol. 2015, 2015.
  • Romero, M. – De Madrid, A.P. – Mañoso, C. – Milanés, V.: Low speed hybrid generalized predictive control of a gasoline-propelled car. ISA Transactions, vol. 57, pp. 373-381, 2015.
  • Kobayashi, K. – Hiraishi, K.: On event-triggered and self-triggered control using online optimization. In Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015, pp. 586-591, 2015.
  • Kaplanoʇlu, E. – Arsan, T. – Varol, H.S.: Predictive control of a constrained pressure and level system. Turkish Journal of Electrical Engineering and Computer Sciences, no. 3, vol. 23, pp. 641-653, 2015.
  • Mozaffari, A. – Vajedi, M. – Azad, N.L.: A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor. Neurocomputing, no. P2, vol. 151, pp. 845-856, 2015.
  • Zikou, L. – Papachristos, C. – Tzes, A.: The Power-over-Tether system for powering small UAVs: Tethering-line tension control synthesis. In 2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings, pp. 681-687, 2015.
  • Vieira, M.S. – Galvao, R.K.H. – Kienitz, K.H.: Attitude stabilization with actuators subject to switching-time constraints using explicit MPC. In IEEE Aerospace Conference Proceedings, 2011.
  • Vesely, I. – Zamecnik, D.: Influence of horizon length of model predictive control with quadratic criterium. In Annals of DAAAM and Proceedings of the International DAAAM Symposium, pp. 869-870, 2011.
  • De Almeida, F.A.: Reference management for fault-tolerant model predictive control. In AIAA Guidance, Navigation, and Control Conference, 2010.
  • Darivianakis, G. – Alexis, K. – Burri, M. – Siegwart, R.: Hybrid predictive control for aerial robotic physical interaction towards inspection operations. In Proceedings - IEEE International Conference on Robotics and Automation, pp. 53-58, 2014.
  • de Almeida, F.A.: Improving maneuver performance in unmanned aerial vehicles through learning-based reference management. In AIAA Guidance, Navigation, and Control (GNC) Conference, 2013.
  • de Almeida, F.A. – de Oliveira Silva, B.G.: Attenuation of aircraft flexible modes during maneuvering flight. In AIAA Guidance, Navigation, and Control (GNC) Conference, 2013.
  • Weinkeller, G.P.C. – Salles, J.L.F. – Filho, T.F.B.: Predictive control via multi-parametric programming applied to the dynamic model of a robotic wheelchair. In Proceedings - 2012 Brazilian Robotics Symposium and Latin American Robotics Symposium, SBR-LARS 2012, pp. 179-184, 2012.
  • Belvén, P.: Implementation of Model PredictiveControl for Path Following with the KTH Research Concept Vehicle. 2015.
  • Drgoňa, J.: Model Predictive Control with Applications in Building Thermal Comfort Control. 2015.
  • Gulan, Martin – Takacs, Gergely – Nguyen, Ngoc Anh – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – others: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, 2017.
  • Dughman, S. – Rossiter, J.: A survey of guaranteeing feasibility and stability in MPC during target changes. In 9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015, pp. 813–818, 2015.
  • Alexis, K. – Papachristos, C. – Siegwart, R. – Tzes, A.: Robust Model Predictive Flight Control of Unmanned Rotorcrafts. Journal of Intelligent and Robotic Systems: Theory and Applications, 2015.
  • Papachristos, C. – Alexis, K. – Tzes, A.: Dual–Authority Thrust–Vectoring of a Tri–TiltRotor employing Model Predictive Control. Journal of Intelligent and Robotic Systems: Theory and Applications, 2015.
  • de Almeida, Fabio A.: Robust off-line control allocation. Aerospace Science and Technology, vol. 52, pp. 1-9, 2016.
  • Magalhaes Afonso, Rubens Junqueira – Harrop Galvao, Roberto Kawakami – Kienitz, Karl Heinz – Alyami, Hashem – Becerra, Victor M. – Hadjiloucas, Sillas: Constrained pre-equalization accounting for multi-path fading emulated using large RC networks: applications to wireless and photonics communications. Optical and Quantum Electronics, no. 7, vol. 48, 2016.
  • Mynar, Zbynek – Vesely, Libor – Vaclavek, Pavel: PMSM Model Predictive Control With Field-Weakening Implementation. IEEE Transactions on Industrial Electronics, no. 8, vol. 63, pp. 5156-5166, 2016.
  • Subbey, Sam – Planque, Benjamin – Lindstrom, Ulf: Exploring stochasticity and imprecise knowledge based on linear inequality constraints. Journal of Mathematical Biology, no. 3, vol. 73, pp. 575-595, 2016.
  • Gerksic, Samo – De Tommasi, Gianmaria: ITER plasma current and shape control using MPC. In 2016 IEEE Conference on Control Applications (cca), 2016.
  • Kobayashi, Koichi – Hiraishi, Kunihiko: Event-Triggered and Self-Triggered Control for Networked Control Systems Using Online Optimization. Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences, no. 2, vol. E99A, pp. 468-474, 2016.
  • Askari, Masood – Moghavvemi, Mahmoud – Almurib, Haider A. F. – Muttaqi, K. M.: Multivariable Offset-Free Model Predictive Control for Quadruple Tanks System. IEEE Transactions on Industry Applications, no. 2, vol. 52, pp. 1882-1890, 2016.
  • Hatanaka, Takeshi – Wasa, Yasuaki – Funada, Riku – Charalambides, Alexandros G. – Fujita, Masayuki: A Payoff-Based Learning Approach to Cooperative Environmental Monitoring for PTZ Visual Sensor Networks. IEEE Transactions on Automatic Control, no. 3, vol. 61, pp. 709-724, 2016.
  • Rossiter, J. A. – Haber, R. – Zabet, K.: Pole-placement Predictive Functional Control for over-damped systems with real poles. Isa Transactions, vol. 61, pp. 229-239, 2016.
  • Papachristos, Christos – Alexis, Kostas – Tzes, Anthony: Dual-Authority Thrust-Vectoring of a Tri-TiltRotor employing Model Predictive Control. Journal of Intelligent & Robotic Systems, no. 3-4, vol. 81, pp. 471-504, 2016.
  • Alexis, Kostas – Darivianakis, Georgios – Burri, Michael – Siegwart, Roland: Aerial robotic contact-based inspection: planning and control. Autonomous Robots, no. 4, vol. 40, pp. 631-655, 2016.
  • Paulen, Radoslav – Fikar, Miroslav: Solution of Optimal Control Problems. In Optimal Operation of Batch Membrane Processes, pp. 37-56, 2016.
  • Simon, Daniel: Fighter Aircraft Maneuver Limiting Using MPC: Theory and Application, vol. 1881, 2017.
  • Talas: Predictive control of a series of multiple liquid tanks substituted by a single dynamics with timedelay. In Proceedings-31st European Conference on Modelling and Simulation, ECMS 2017, 2017.
  • Vesely, Libor – Mynar, Zbynek: Model Predictive Control of SPMSM based on FPGA and processor. In 2017 IEEE International Conference on Industrial Technology (icit), pp. 324-329, 2017.
  • Talas, Stanislav – Bobal, Vladimir – Krhovjak, Adam – Rusar, Lukas: PREDICTIVE CONTROL OF A SERIES OF MULTIPLE LIQUID TANKS SUBSTITUTED BY A SINGLE DYNAMICS WITH TIME-DELAY. In Proceedings - 31st European Conference on Modelling and Simulation Ecms 2017, pp. 374-378, 2017.
  • Gulan, M. – Takács, G. – Anh Nguyen, N. – Olaru, S. – Rodriguez-Ayerbe, P. – Rohaľ-Ilkiv, B.: Embedded linear model predictive control for 8-bit microcontrollers via convex lifting. IFAC-PapersOnLine, no. 1, vol. 50, pp. 10697-10704, 2017.
  • Kamel, M. – Stastny, T. – Alexis, K. – Siegwart, R.: Model predictive control for trajectory tracking of unmanned aerial vehicles using robot operating system. Studies in Computational Intelligence, vol. 707, pp. 3-39, 2017.
  • Gulan, Martin – Takacs, Gergely – Ngoc Anh Nguyen – Olaru, Sorin – Rodriguez-Ayerbe, Pedro – Rohal-Ilkiv, Boris: Efficient Embedded Model Predictive Vibration Control via Convex Lifting. IEEE Transactions on Control Systems Technology, no. 1, vol. 27, pp. 48-62, 2019.
M. Kvasnica – M. Herceg – Ľ. ČirkaM. Fikar: Robust Adaptive Minimum-Time Control of Piecewise Affine Systems. In Proceedings of the 48th IEEE Conference on Decision and Control, pp. 2454–2459, 2009.
  • Number of citations       1
  • Takács, G. – Rohaľ-Ilkiv, B.: Model predictive vibration control: Efficient constrained MPC vibration control for lightly damped mechanical structures, 2012.
M. Herceg – M. KvasnicaM. Fikar: Minimum-time predictive control of a servo engine with deadzone. Control Engineering Practice, no. 60, pp. 1349–1357, 2009.
  • Number of citations       13
  • Bobál, V. – Chalupa, P. – Dostál, P. – Novák, J.: Disturbance rejection of nonlinear servo system by self-tuning control. International Journal of Mathematical Models and Methods in Applied Sciences, no. 8, vol. 5, pp. 1431-1438, 2011.
  • Bobál,V. – Chalupa,P. – Dostál,P. – Novák,J.: Self-tuning control of nonlinear servomotor with disturbance rejection. In Recent Researches in Circuits, Systems and Signal Processing - Proc. of the 15th WSEAS Int. Conf. on Circuits, Part of the 15th WSEAS CSCC Multiconference, Proc. of the 5th Int. Conf. on CSS, pp. 29-34, 2011.
  • Bobál, V. – Chalupa, P. – Kubalčík, M. – Dostál, P.: Adaptive control of nonlinear servo system with disturbance rejection. In 2011 19th Mediterranean Conference on Control and Automation, MED 2011, pp. 880-885, 2011.
  • Chalupa, P. – Novák, J. – Bobál, V.: Identification and control of nonlinear servo system. In Proceedings of the IASTED International Conference on Modelling, Identification and Control, pp. 220-227, 2011.
  • Bobál, V. – Chalupa, P. – Dostál, P. – Kubalčík, M.: Adaptive Control of Nonlinear Servo System with Measured Disturbance. In International Conference Cybernetics and Informatics, Skalka pri Kremnici, Slovak Republic, 2012.
  • Nguyen, M. H. – Tan, K. K. – Liang, W. – Teo, C. S.: Robust precision positioning control on linear ultrasonic motor. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, pp. 170-175, 2013.
  • Nguyen, Minh H. T. – Liang, Wenyu – Teo, Chek-Sing – Tan, Kok-Kiong: Piecewise affine modeling and compensation in motion of linear ultrasonic actuators. Mechatronics, vol. 27, pp. 20-27, 2015.
  • Kiong, Tan Kok – Huang Sunan: Model Predictive Control of Precise Actuators. In Modeling and Control of Precision Actuators, pp. 99-121, 2014.
  • Colombo Junior, Jose Roberto – Magalhaes Afonso, Rubens Junqueira – Harrop Galvao, Roberto Kawakami – Assuncao, Edvaldo: Robust Model Predictive Control of a Benchmark Electromechanical System. Journal of Control Automation and Electrical Systems, no. 2, vol. 27, pp. 119-131, 2016.
  • Galuppini, Giacomo – Magni, Lalo – Raimondo, Davide Martino: Model predictive control of systems with deadzone and saturation. Control Engineering Practice, vol. 78, pp. 56-64, 2018.
  • Dincmen, Erkin: Extremum seeking dead-zone pre-compensator for an industrial control system. At-automatisierungstechnik, no. 6, vol. 66, pp. 471-482, 2018.
  • Yonezawa, Heisei – Kajiwara, Itsuro – Nishidome, Chiaki – Hiramatsu, Shigeki – Sakata, Masato – Hatano, Takashi: Vibration control of automotive drive system with backlash considering control period constraint. Journal of Advanced Mechanical Design Systems and Manufacturing, no. 1, vol. 13, 2019.
  • Yonezawa, H. – Kajiwara, I. – Sato, S. – Nishidome, C. – Sakata, M. – Hatano, T. – Hiramatsu, S.: Vibration control of automotive drive system with nonlinear gear backlash. Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, no. 12, vol. 141, 2019.
I. Rauová – M. KvasnicaĽ. ČirkaM. Fikar: Real-Time Model Predictive Control of a Laboratory Liquid Tanks System. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 304–308, 2009.
  • Number of citations       3
  • Bayat, F.: Constant Reference Tracking for Fast Linear Constrained Systems. In IEEE Multi-Conference on Systems and Control, Yokohama, Japan, pp. 2308-2313, 2010.
  • Alipouri, Y. – Poshtan, J.: Optimal controller design using discrete linear model for a four tank benchmark process. ISA Transactions, vol. 52, pp. 644-651, 2013.
  • Grosenick, Logan – Marshel, James H. – Deisseroth, Karl: Closed-Loop and Activity-Guided Optogenetic Control. Neuron, no. 1, vol. 86, pp. 106-139, 2015.
M. Herceg – M. KvasnicaM. FikarĽ. Čirka: Real-Time Control of a Thermo-Optical Device Using Polynomial Approximation of MPC Scheme. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 332–340, 2009.
  • Number of citations       1
  • Ameen,N. A. – Galal, B. S. – Kennel, R. M. – Kanchan, R. S.: The polynomial approximation of the explicit solution of model-based predictive controller for drive applications. In PRECEDE 2011 - Workshop on Predictive Control of Electrical Drives and Power Electronics, pp. 76-81, 2011.
M. Herceg – M. KvasnicaM. Fikar: Parametric Approach to Nonlinear Model Predictive Control, In Nonlinear Model Predictive Control, Editor(s): Magni, L. and Raimondo, D. M. and Allgoewer, F., Springer Berlin / Heidelberg, pp. 381–389, 2009.
  • Number of citations       3
  • Dominguez, LF. – Pistikopoulos, EN.: Recent Advances in Explicit Multiparametric Nonlinear Model Predictive Control. Industrial & Engineering Chemistry Research, no. 2, vol. 50, pp. 609-619, 2011.
  • Sahed, Oussama Ait – Kara, Kamel – Hadjili, Mohamed Laid: Constrained Fuzzy Predictive Control Using Particle Swarm Optimization. Applied Computational Intelligence and Soft Computing, no. 437943, 2015.
  • Sahed, Oussama Ait – Kara, Kamel – Benyoucef, Abousoufyane – Hadjili, Mohamed Laid: An efficient artificial bee colony algorithm with application to nonlinear predictive control. International Journal of General Systems, no. 4, vol. 45, pp. 393-417, 2016.
Ľ. ČirkaM. KvasnicaM. Fikar: WebLab Module for the Moodle Learning Management System. Editor(s): Huba, M., In Proceedings of 9th International Conference Virtual University 2008, E-academia Slovaca, Bratislava, pp. fid000131.pdf, 2008.
  • Number of citations       3
  • Khalil, Asma – Hasna, Mazen – Benammar, Mohieddine – Chaabane, Mohamed – ben Amar, Chokri: Development of a Remote Lab for Electrical Engineering Program. In 2009 3rd International Conference on Signals, Circuits and Systems (scs 2009), pp. 598-602, 2009.
  • Gallardo, A. – Richter, T. – Debicki, P. – Bellido, L. – Mateos, V. – Villagra, V.: A rig booking system for on-line laboratories. In Global Engineering Education Conference (EDUCON), 2011 IEEE, Amman, Jordan, pp. 643-648, 2011.
  • Mateos, Verónica – Bellidoa, Luis – Villagrá, Víctor A. – Richter, Thomas – Gallardo, Alberto: Access Control for Shared Remote Laboratories. Journal of Research and Practice in Information Technology, no. 2, vol. 44, pp. 111-128, 2012.
M. Kvasnica: Efficient Software Tools for Control and Analysis of Hybrid Systems. ETH Zurich, ETH Zurich, Physikstrasse 3, 8092 Zurich, Switzerland, 2008.
  • Number of citations       4
  • Kuhn, J. – Reinl, Ch. – von Stryk, O.: Predictive Control for Multi-Robot Observation of Multiple Moving Targets Based on Discrete-Continuous Linear Models. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 257--262, 2011.
  • Lofberg, J.: Oops! I cannot do it again: Testing for recursive feasibility in MPC. Automatica, no. 3, vol. 48, pp. 550-555, 2012.
  • Taghavipour, A. – Azad, N.L. – McPhee, J.: Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles. In Control Conference (ECC), 2015 European, pp. 3377-3382, 2015.
  • Taghavipour, A. – Azad, N. – McPhee, J.: Real-time predictive control strategy for a plug-in hybrid electric powertrain. Mechatronics, vol. 29, pp. 13-27, 2015.
S. Mariethoz – M. Herceg – M. Kvasnica: Model Predictive Control of buck DC-DC converter with nonlinear inductor. In Proceedings of the Eleventh IEEE Workshop on Control and Modeling for Power Electronics, Zurich, Switzerland, pp. 1–8, 2008.
  • Number of citations       7
  • Dehong Zhou – Jin Zhao – Yang Liu: Predictive Torque Control Scheme for Three-Phase Four-Switch Inverter-Fed Induction Motor Drives With DC-Link Voltages Offset Suppression. Power Electronics, IEEE Transactions on, no. 6, vol. 30, pp. 3309-3318, 2015.
  • Di Capua, G. – Femia, N.: A Novel Method to Predict the Real Operation of Ferrite Inductors With Moderate Saturation in Switching Power Supply Applications. Power Electronics, IEEE Transactions on, no. 3, vol. 31, pp. 2456-2464, 2016.
  • Li, Po – Liu, Rui Nan – Ma, Xiang Hui: Unknown Offset Free MPC for Buck Converter. In Applied Mechanics and Materials, pp. 175--180, 2017.
  • Gurleyen, Hilmi – Mese, Erkan – Kim, Ju Hyung – Sarlioglu, Bulent: Nonlinear analytical model of an inductance considering saturation and temperature variation. In Energy Conversion Congress and Exposition (ECCE), 2017 IEEE, pp. 3150--3154, 2017.
  • Onate Montoya, Lenin Andrés – Crespo, Tito – Xavier, Wilson: Desarrollo de un cargador de baterias basado en el control predictivo por modelo (MPC) para un sistema de generacion fotovoltaica. 2018.
  • Wu, J. – Chen, X. – Liu, A. – Yu, L.: Predictive control for visual servoing control of cyber physical systems with packet loss. Peer-to-Peer Networking and Applications, no. 6, vol. 12, pp. 1774-1784, 2019.
  • Nawaz, M. – Saqib, M.A. – Kashif, S.A.R. – Gul, M.: Constrained model predictive control for an induction heating load. Transactions of the Institute of Measurement and Control, no. 1, vol. 41, pp. 210-218, 2019.
M. Kvasnica – F. J. Christophersen – M. Herceg – M. Fikar: Polynomial Approximation of Closed-form MPC for Piecewise Affine Systems. In Proceedings of the 17th World Congress of the International Federation of Automatic Control, Seoul, South Korea, pp. 3877–3882, 2008.
  • Number of citations       4
  • Ameen,N. A. – Galal, B. S. – Kennel, R. M. – Kanchan, R. S.: The polynomial approximation of the explicit solution of model-based predictive controller for drive applications. In PRECEDE 2011 - Workshop on Predictive Control of Electrical Drives and Power Electronics, pp. 76-81, 2011.
  • Aangenent, W. H. T. M. – Heemels, W. P. M. H. – van de Molengraft, M. J. G. – Henrion, D. – Steinbuch, M.: Linear control of time-domain constrained systems. Automatica, no. 5, vol. 48, pp. 736-746, 2012.
  • Genuit, B. A. G. – Lu, L. – Heemels, W. P. M. H.: Approximation of explicit model predictive control using regular piecewise affine functions: an input-to-state stability approach. IET Control Theory and Applications, no. 8, vol. 6, pp. 1015-1028, 2012.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
F. J. Christophersen – M. Kvasnica – C. Jones – M. Morari: Efficient Evaluation of Piecewise Control Laws defined over a Large Number of Polyhedra. Editor(s): S. G. Tzafestas, P. J. Antsaklis, In Proceedings of the European Control Conference ECC '07, pp. 2360–2367, 2007.
  • Number of citations       20
  • Bayat, F.: Using hash tables to manage the time-storage complexity in a point location problem: Application to explicit model predictive control. Automatica, no. 3, vol. 47, pp. 571 - 577, 2011.
  • Bayat, F.: Combining truncated binary search tree and direct search for flexible piecewise function evaluation for explicit MPC in embedded microcontrollers. In Proceedings of the 18th IFAC World Congres, Italy, 2011.
  • Valencia-Palomo, G. – Rossiter, J. A.: Novel programmable logic controller implementation of a predictive controller based on Laguerre functions and multiparametric solutions. IET Control Theory and Applications, no. 8, vol. 6, pp. 1003-1014, 2012.
  • Bayat, Farhad – Johansen, Tor Arne – Jalali, Ali Akbar: Flexible Piecewise Function Evaluation Methods Based on Truncated Binary Search Trees and Lattice Representation in Explicit MPC. IEEE Transactions on Control Systems Technology, no. 3, vol. 20, pp. 632-640, 2012.
  • Hoai-Nam Nguyen – Olaru, Sorin – Hovd, Morten: A patchy approximation of explicit model predictive control. International Journal of Control, no. 12, vol. 85, pp. 1929-1941, 2012.
  • Grancharova, A. – Johansen, T.: Multi-parametric Programming. Explicit Nonlinear Model Predictive Control, pp. 1--37, 2012.
  • Richter, S.: Computational complexity certification of gradient methods for real-time model predictive control. 2012.
  • Mohammadkhani, Mohammad Ali – Bayat, Farhad – Jalali, Ali Akbar: Design of Explicit Model Predictive Control for Constrained Linear Systems with Disturbances. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, no. 2, vol. 12, pp. 294--301, 2014.
  • Danielson, C. – Borrelli, F.: Symmetric Linear Model Predictive Control. Automatic Control, IEEE Transactions on, no. 5, vol. 60, pp. 1244-1259, 2015.
  • Bemporad, A.: A Multiparametric Quadratic Programming Algorithm With Polyhedral Computations Based on Nonnegative Least Squares. Automatic Control, IEEE Transactions on, no. 11, vol. 60, pp. 2892-2903, 2015.
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Xu, Jun – van den Boom, Ton J. J. – De Schutter, Bart – Wang, Shuning: Irredundant lattice lattice representations of continuous piecewise affine functions. Automatica, vol. 70, pp. 109-120, 2016.
  • Wang, Y. – Yang, P.: Active fault-tolerant control of a CSTR system based on PWA model. IAENG International Journal of Applied Mathematics, no. 3, vol. 46, pp. 372-378, 2016.
  • Xu, J. – van den Boom, T. J. – De Schutter, B. – Luo, X. L.: Minimal conjunctive normal expression of continuous piecewise affine functions. IEEE Transactions on Automatic Control, no. 5, vol. 61, pp. 1340-1345, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Gersnoviez, Andrés – Brox, Mara – Baturone, Iluminada: High-Speed and Low-Cost Implementation of Explicit Model Predictive Controllers. IEEE Transactions on Control Systems Technology, 2017.
  • Gersnoviez, Andres – Brox, Maria – Baturone, Iluminada: High-Speed and Low-Cost Implementation of Explicit Model Predictive Controllers. IEEE Transactions on Control Systems Technology, no. 2, vol. 27, pp. 647-662, 2019.
  • Ogumerem, Gerald S. – Pistikopoulos, Efstratios N.: Parametric optimization and control toward the design of a smart metal hydride refueling system. Aiche Journal, no. 10, vol. 65, 2019.
  • Chen, J. – Chen, Y. – Tong, L. – Peng, L. – Kang, Y.: A Backpropagation Neural Network-Based Explicit Model Predictive Control for DC-DC Converters with High Switching Frequency. IEEE Journal of Emerging and Selected Topics in Power Electronics, no. 3, vol. 8, pp. 2124-2142, 2020.
  • Wu, A. – Sadraddini, S. – Tedrake, R.: The Nearest Polytope Problem: Algorithms and Application to Controlling Hybrid Systems. In Proceedings of the American Control Conference, pp. 1815-1822, 2020.
S. Di Cairano – A. Bemporad – M. Kvasnica – M. Morari: An architecture for data interchange of switched linear systems. 2006.
  • Number of citations       3
  • Hendriks, D. – Schiffelers, R.R.H. – Hufner, M. – Sonntag, C.: A transformation framework for the Compositional Interchange Format for hybrid systems. In Proceedings of the 18th IFAC World Congress, Milan, Italy, 2011.
  • D.E.N. adales Agut – D.A. van Beek – J.E. Rooda: Syntax and semantics of the compositional interchange format for hybrid systems. J. Logic Algebraic Programming, no. 1, vol. 82, pp. 1--52, 2013.
  • Nuzzo, P. – Sangiovanni-Vincentelli, A.L. – Bresolin, D. – Geretti, L. – Villa, T.: A Platform-Based Design Methodology With Contracts and Related Tools for the Design of Cyber-Physical Systems. Proceedings of the IEEE, no. 11, vol. 103, pp. 2104-2132, 2015.
  • Number of citations       1
  • Goh, J. – Sim, M.: Robust optimization made easy with ROME. Operations Research, no. 4, vol. 59, pp. 973--985, 2011.
P. Grieder – M. Kvasnica – M. Baotic – M. Morari: Stabilizing low complexity feedback control of constrained piecewise affine systems. Automatica, vol. 41, issue 10, pp. 1683–1694, 2005.
  • Number of citations       45
  • Lai, C.Y. – Xiang, C. – Lee, T.H.: Data-based identification and control of nonlinear systems via piecewise affine approximation. IEEE Transactions on Neural Networks, no. 12, vol. 22, pp. 2189-2200, 2011.
  • Bemporad, A. – Oliveri, A. – Poggi, T. – Storace, M.: Ultra-fast stabilizing model predictive control via canonical piecewise affine approximations. IEEE Transactions on Automatic Control, no. 12, vol. 56, pp. 2883-2897, 2011.
  • Keel, L.H. – Bhattacharyya, S.P.: Robust stability via sign-definite decomposition. IEEE Transactions on Automatic Control, no. 1, vol. 56, pp. 140-145, 2011.
  • Görges, D. – Izák, M. – Liu, S.: Optimal control and scheduling of switched systems. IEEE Transactions on Automatic Control, no. 1, vol. 56, pp. 135-140, 2011.
  • Rubagotti, M. – Trimboli, S. – Bernardini, D. – Bemporad, A.: Stability and invariance analysis of approximate explicit MPC based on PWA Lyapunov functions. In Proceedings of the 18th IFAC World Congress, Milan, Italy, 2011.
  • Pieschel, M.: Frequenzselektive Aktivfilterung von Stromoberschwingungen mit einer erweiterten modellbasierten Prädiktivregelung, Logos Verlag Berlin, 2011.
  • Trimboli, S. – Rubagotti, M. – Bemporad, A.: Stability and Invariance Analysis of Uncertain PWA Systems Based on Linear Programming. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 7398--7403, 2011.
  • Pan, Shengtao – Sun, Jitao – Zhao, Shouwei: Robust filtering for discrete time piecewise impulsive systems. Signal Processing, no. 1, vol. 90, pp. 324-330, 2010.
  • Li,L. – Dong,W. – Ji,Y. – Zhang,Z.: An improved parameter identification approach for piecewise affine model. Control Engineering Practice, no. 1, vol. 21, pp. 54-64, 2013.
  • Kobayashi,K. – Imura,J. -.: Deterministic finite automata representation for model predictive control of hybrid systems. Journal of Process Control, no. 9, vol. 22, pp. 1670-1680, 2012.
  • Zhang,H. – Dang,C. – Zhang,J.: H∞ control of piecewise-linear systems under unreliable communication links. Circuits, Systems, and Signal Processing, no. 4, vol. 31, pp. 1297-1318, 2012.
  • Aangenent, W. H. T. M. – Heemels,W. P. M. H. – Van De Molengraft,M. J. G. – Henrion,D. – Steinbuch,M.: Linear control of time-domain constrained systems. Automatica, no. 5, vol. 48, pp. 736-746, 2012.
  • Mirzazad-Barijough,S. – Lee,J. -.: Stability and transient performance of discrete-time piecewise affine systems. IEEE Transactions on Automatic Control, no. 4, vol. 57, pp. 936-949, 2012.
  • Liu, Zhong-Xin – Chen, Zeng-Qiang: Discarded Consensus of Network of Agents With State Constraint. Ieee Transactions on Automatic Control, no. 11, vol. 57, pp. 2869-2873, 2012.
  • Nguyen, M. H. – Tan, K. K. – Teo, C. S.: PID gain scheduling by parametric model predictive control. In 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013, pp. 944-948, 2013.
  • Rubagotti, M. – Trimboli, S. – Bemporad, A.: Stability and invariance analysis of uncertain discrete-time piecewise affine systems. IEEE Transactions on Automatic Control, no. 9, vol. 58, pp. 2359-2365, 2013.
  • Rubagotti, M. – Zaccarian, L. – Bemporad, A.: Stability analysis of discrete-time piecewise-affine systems over non-invariant domains. In Proceedings of the IEEE Conference on Decision and Control, pp. 4235-4240, 2012.
  • Yan, Z. – Wang, J.: A neurodynamic approach to model predictive control of piecewise linear systems. In ICICIP 2012 - 2012 3rd International Conference on Intelligent Control and Information Processing, pp. 463-468, 2012.
  • Di Cairano, S. – Heemels, W.P.M.H. – Lazar, M. – Bemporad, A.: Stabilizing dynamic controllers for hybrid systems: A hybrid control lyapunov function approach. IEEE Transactions on Automatic Control, no. 10, vol. 59, pp. 2629-2643, 2014.
  • Thomas, J.: Robust Model Predictive Controller for Uncertain Piecewise Affine Systems. Arabian Journal for Science and Engineering, no. 10, vol. 39, pp. 7421-7432, 2014.
  • Rubagotti, M. – Barcelli, D. – Bemporad, A.: Robust explicit model predictive control via regular piecewise-affine approximation. International Journal of Control, no. 12, vol. 87, pp. 2583-2593, 2014.
  • Brdys, M.A.: Integrated monitoring, control and security of critical infrastructure systems. Annual Reviews in Control, no. 1, vol. 38, pp. 47-70, 2014.
  • Hariprasad, K. – Bhartiya, S.: A computationally efficient stabilizing model predictive control of switched systems. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 607-613, 2014.
  • Gros, S. – Chachuat, B.: Optimization-based load reduction during rapid shutdown of multi-megawatt wind turbine generators. Wind Energy, no. 7, vol. 17, pp. 1055-1075, 2014.
  • Hariprasad, K. – Bhartiya, S.: A computationally efficient robust tube based MPC for linear switched systems. Nonlinear Analysis: Hybrid Systems, vol. 19, pp. 60-76, 2016.
  • Kaplanoʇlu, E. – Arsan, T. – Varol, H.S.: Predictive control of a constrained pressure and level system. Turkish Journal of Electrical Engineering and Computer Sciences, no. 3, vol. 23, pp. 641-653, 2015.
  • Weiwei, Q. – Bing, H. – Beixuan, L. – Renping, Y. – Gang, L.: An improved dual-mode robust nonlinear MPC with one-step set optimization. In Chinese Control Conference, CCC, pp. 4004-4009, 2015.
  • Pregelj, B. – Gerksic, S.: Hybrid multi-parametric model predictive control of a nonlinear process approximated with a piecewise affine model. In 2009 European Control Conference, ECC 2009, pp. 3492-3497, 2015.
  • Rubagotti, M. – Zaccarian, L. – Bemporad, A.: A Lyapunov method for stability analysis of piecewise-affine systems over non-invariant domains. International Journal of Control, pp. DOI:10.1080/00207179.2015.1108456, 2015.
  • Xu, Jun – van den Boom, Ton J. J. – De Schutter, Bart – Luo, Xiong-Lin: Minimal Conjunctive Normal Expression of Continuous Piecewise Affine Functions. IEEE Transactions on Automatic Control, no. 5, vol. 61, pp. 1340-1345, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Li, L. – Done, W. – Ji, Y.: A subspace approach to the identification of MIMO piecewise linear systems. In Chinese Control Conference, CCC, pp. 2465-2470, 2016.
  • Hariprasad, K. – Bhartiya, S.: An Efficient and Stabilizing Model Predictive Control of Switched Systems. IEEE Transactions on Automatic Control, no. 99, vol. PP, 2016.
  • Koehler, S. – Mehr, N. – Horowitz, R. – Borrelli, F.: Stable hybrid Model Predictive Control for ramp metering. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on, pp. 1083-1088, 2016.
  • Bardakci, I. E. – Lee, J. W. – Lagoa, C.: Robust stabilization of discrete-time piecewise affine systems subject to bounded disturbances. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 7252-7257, 2016.
  • Nenchev, V. – Cassandras, C. G. – Raisch, J.: Optimal control for a robotic exploration, pick-up and delivery problem. arXiv preprint arXiv:1607.01202, 2016.
  • Rubagotti, Matteo – Zaccarian, Luca – Bemporad, Alberto: A Lyapunov method for stability analysis of piecewise-affine systems over non-invariant domains. International Journal of Control, no. 5, vol. 89, pp. 950-959, 2016.
  • Nodozi, I. – Rahmani, M.: LMI-based model predictive control for switched nonlinear systems. Journal of Process Control, vol. 59, pp. 49-58, 2017.
  • Li, L. – Liu, J.: Subspace clustering on parameter estimation of switched affine models. In Chinese Control Conference, CCC, pp. 2198-2203, 2017.
  • Hariprasad, K. – Bhartiya, S.: An Efficient and Stabilizing Model Predictive Control of Switched Systems. IEEE Transactions on Automatic Control, no. 7, vol. 62, pp. 3401-3407, 2017.
  • Di Cairano, Stefano – Heemels, W. P. Maurice H. – Lazar, Mircea – Bemporad, Alberto: Stabilizing Dynamic Controllers for Hybrid Systems: A Hybrid Control Lyapunov Function Approach. IEEE Transactions on Automatic Control, no. 10, vol. 59, pp. 2629-2643, 2014.
  • Nenchev, V. – Cassandras, C.G. – Raisch, J.: Event-driven optimal control for a robotic exploration, pick-up and delivery problem. Nonlinear Analysis: Hybrid Systems, vol. 30, pp. 266-284, 2018.
  • Nenchev, Vladislav: Optimal control of mobile robots in partially unknown environments. 2018.
  • Pasquale, C. – Sacone, S. – Siri, S.: Stabilizing piecewise linear state feedback controllers for freeway networks. In European Control Conference 2020, ECC 2020, pp. 434-439, 2020.
  • Mate, S. – Kodamana, H. – Bhartiya, S. – Nataraj, P.S.V.: A Stabilizing Sub-Optimal Model Predictive Control for Quasi-Linear Parameter Varying Systems. IEEE Control Systems Letters, no. 2, vol. 4, pp. 402-407, 2020.
M. Kvasnica – P. Grieder – M. Baotic – M. Morari: Multi-Parametric Toolbox (MPT). In HSCC (Hybrid Systems: Computation and Control ), Philadelphia, PA, USA, no. 2993, pp. 448–462, 2004.
  • Number of citations       471
  • Ameen, N.A.-S. – Galal, B.S. – Kennel, R.M. – Kanchan, R.S.: The polynomial approximation of the explicit solution of model-based predictive controller for drive applications. In PRECEDE 2011 - Workshop on Predictive Control of Electrical Drives and Power Electronics, pp. 76-81, 2011.
  • Dang, T. – Gawlitza, T.M.: Discretizing affine hybrid automata with uncertainty. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 473-481, 2011.
  • Stolze, P. – Landsmann, P. – Kennel, R. – Mouton, T.: Finite-set model predictive control with heuristic voltage vector preselection for higher prediction horizons. In Proceedings of the 2011 14th European Conference on Power Electronics and Applications, EPE 2011, 2011.
  • Stolze, P. – Landsmann, P. – Kennel, R. – Mouton, T.: Finite-set model predictive control of a flying capacitor converter with hysteresis voltage balancing. In Proceedings of the 2011 14th European Conference on Power Electronics and Applications, EPE 2011, 2011.
  • Szabat, K. – Serkies, P. – Cychowski, M.: Application of the MPC to the robust control of the two-mass drive system. In Proceedings - ISIE 2011: 2011 IEEE International Symposium on Industrial Electronics, pp. 1901-1906, 2011.
  • Cychowski, M. – Serkies, P. – Nalepa, R. – Szabat, K.: Model predictive speed and vibration control of dual-inertia PMSM Drives. In Proceedings - ISIE 2011: 2011 IEEE International Symposium on Industrial Electronics, pp. 1919-1924, 2011.
  • Stolze, P. – Landsmann, P. – Kennel, R. – Mouton, T.: Finite-set model predictive control of a flying capacitor converter with heuristic voltage vector preselection. In 8th International Conference on Power Electronics - ECCE Asia:, pp. 210-217, 2011.
  • Kurzhanskiy, A.A. – Varaiya, P.: Theory and computational techniques for analysis of discrete-time control systems with disturbances. In Optimization Methods and Software, pp. 719-746, 2011.
  • Serkies, P. – Orlowska-Kowalska, T. – Cychowski, M. – Szabat, K.: Robust model predictive speed control of the drive system with an elastic joint. In EUROCON 2011 - International Conference on Computer as a Tool - Joint with Conftele 2011, 2011.
  • Percival, M.W. – Wang, Y. – Grosman, B. – Dassau, E. – Zisser, H. – Jovanovič, L. – Doyle III, F.J.: Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters. Journal of Process Control, no. 3, vol. 21, pp. 391-404, 2011.
  • Serkies, P.J. – Szabat, K.: Predictive position control of the drive system with elastic joint [Predykcyjne sterowanie pozycja̧. W napȩdzie elektrycznym z pota̧czeniem sprȩżystym]. Przeglad Elektrotechniczny, no. 2, vol. 87, pp. 276-279, 2011.
  • Kaynama, S. – Oishi, M.: Complexity reduction through a Schur-based decomposition for reachability analysis of linear time-invariant systems. International Journal of Control, no. 1, vol. 84, pp. 165-179, 2011.
  • Gonzalez, A. H. – Adam, E. J. – Marcovecchio, M. G. – Odloak, D.: Application of an extended IHMPC to an unstable reactor system: Study of feasibility and performance. Journal of Process Control, no. 10, SI, vol. 21, pp. 1493-1503, 2011.
  • Falcone, Paolo – Ali, Mohammad – Sjoeberg, Jonas: Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory. Ieee Transactions on Intelligent Transportation Systems, no. 4, vol. 12, pp. 1352-1361, 2011.
  • Li, Lei – Zabinsky, Zelda B.: Incorporating uncertainty into a supplier selection problem. International Journal of Production Economics, no. 2, SI, vol. 134, pp. 344-356, 2011.
  • Gonzalez, Ramon – Fiacchini, Mirko – Luis Guzman, Jose – Alamo, Teodoro – Rodriguez, Francisco: Robust tube-based predictive control for mobile robots in off-road conditions. Robotics and Autonomous Systems, no. 10, vol. 59, pp. 711-726, 2011.
  • Wang, Yang – Boyd, Stephen: Performance bounds and suboptimal policies for linear stochastic control via LMIs. International Journal of Robust and Nonlinear Control, no. 14, vol. 21, pp. 1710-1728, 2011.
  • Ding, Jerry – Gillula, Jeremy H. – Huang, Haomiao – Vitus, Michael P. – Zhang, Wei – Tomlin, Claire J.: Hybrid Systems in Robotics Toward Reachability-Based Controller Design. Ieee Robotics & Automation Magazine, no. 3, vol. 18, pp. 33-43, 2011.
  • Cortez, R. Andres – Fierro, Rafael – Wood, John: Prioritized Sensor Detection for Environmental Mapping: Theory and Experiments. Journal of Intelligent & Robotic Systems, no. 3-4, vol. 63, pp. 481-501, 2011.
  • Lefeber, Erjen – Laemmer, Stefan – Rooda, Jacobus E.: Optimal control of a deterministic multiclass queuing system for which several queues can be served simultaneously. Systems & Control Letters, no. 7, vol. 60, pp. 524-529, 2011.
  • Wang, Yang – Boyd, Stephen: Fast Evaluation of Quadratic Control-Lyapunov Policy. Ieee Transactions on Control Systems Technology, no. 4, vol. 19, pp. 939-946, 2011.
  • Perez, Emilio – Arino, Carlos – Xavier Blasco, F. – Martinez, Miguel A.: Maximal closed loop admissible set for linear systems with non-convex polyhedral constraints. Journal of Process Control, no. 4, vol. 21, pp. 529-537, 2011.
  • Gonzalez, A. H. – Adam, Et – Marcovecchio, M. G. – Odloak, D.: Stable MPC for tracking with maximal domain of attraction. Journal of Process Control, no. 4, vol. 21, pp. 573-584, 2011.
  • Bayat, Farhad – Johansen, Tor Arne – Jalali, Ali Akbar: Using hash tables to manage the time-storage complexity in a point location problem: Application to explicit model predictive control. Automatica, no. 3, vol. 47, pp. 571-577, 2011.
  • Greco, Luca – Fontanelli, Daniele – Bicchi, Antonio: Design and Stability Analysis for Anytime Control via Stochastic Scheduling. Ieee Transactions on Automatic Control, no. 3, vol. 56, pp. 571-585, 2011.
  • Gondhalekar, Ravi – Jones, Colin N.: MPC of constrained discrete-time linear periodic systems - A framework for asynchronous control: Strong feasibility, stability and optimality via periodic invariance. Automatica, no. 2, vol. 47, pp. 326-333, 2011.
  • Paindaveine, Davy – Siman, Miroslav: On directional multiple-output quantile regression. Journal of Multivariate Analysis, no. 2, vol. 102, pp. 193-212, 2011.
  • Holena, Martin – Linke, David – Rodemerck, Uwe: Generator approach to evolutionary optimization of catalysts and its integration with surrogate modeling. Catalysis Today, no. 1, vol. 159, pp. 84-95, 2011.
  • Dehghan, Masood – Ong, Chong-Jin – Chen, Peter C. Y.: Enlarging Domain of Attraction of Switched Linear Systems in the Presence of Saturation Nonlinearity. In 2011 American Control Conference, 2011.
  • Nguyen, H. N. – Gutman, P. -O. – Olaru, S. – Hovd, M. – Colledani, F.: Improved vertex control for time-varying and uncertain linear discrete-time systems with control and state constraints. In 2011 American Control Conference, pp. 4386-4391, 2011.
  • Thomas, Jean: Complexity Reduction of Robust Model Predictive Controller for Uncertain Piecewise Affine Systems. In 2011 American Control Conference, pp. 857-862, 2011.
  • Gonzalez, R. – Fiacchini, M. – Alamo, T. – Guzman, J. L. – Rodriguez, F.: Online robust tube-based MPC for time-varying systems: a practical approach. International Journal of Control, no. 6, vol. 84, pp. 1157-1170, 2011.
  • Kim, Kyoung-Dae – Mitra, Sayan – Kumar, P. R.: Computing Bounded epsilon-Reach Set with Finite Precision Computations for a Class of Linear Hybrid Automata. In Hscc 11: Proceedings of the 14th International Conference on Hybrid Systems: Computation and Control, pp. 113-122, 2011.
  • Dang, Thao – Testylier, Romain: Hybridization Domain Construction using Curvature Estimation. In Hscc 11: Proceedings of the 14th International Conference on Hybrid Systems: Computation and Control, pp. 123-132, 2011.
  • Falkenhain, Jan – Lunze, Jan: Guaranteed Disturbance-set Estimation of Linear Discrete-time Systems. At-automatisierungstechnik, no. 2, vol. 59, pp. 104-113, 2011.
  • Kim, Minji – Sundararajan, Jay Kumar – Medard, Muriel – Eryilmaz, Atilla – Koeter, Ralf: Network Coding in a Multicast Switch. Ieee Transactions on Information Theory, no. 1, vol. 57, pp. 436-460, 2011.
  • Artstein, Zvi – Rakovic, Sasa V.: Set invariance under output feedback: a set-dynamics approach. International Journal of Systems Science, no. 4, vol. 42, pp. 539-555, 2011.
  • Scibilia, Francesco – Olaru, Sorin – Hovd, Morten: On feasible sets for MPC and their approximations. Automatica, no. 1, vol. 47, pp. 133-139, 2011.
  • Oliveri, A. – Naus, GJL – Storace, M. – Heemels, W.: Low-complexity approximations of PWA functions: A case study on Adaptive Cruise Control. In 2011 20th European Conference on Circuit Theory and Design (ECCTD), pp. 669--672, 2011.
  • Bayat, F. – Johansen, T.A. – Jalali, A.A.: Combining truncated binary search tree and direct search for flexible piecewise function evaluation for explicit MPC in embedded microcontrollers. In Proceedings of the 18th IFAC World Congress, Milan, Italy, 2011.
  • Aswani, A. – Gonzalez, H. – Sastry, S.S. – Tomlin, C.: Provably Safe and Robust Learning-Based Model Predictive Control}. Arxiv preprint arXiv:1107.2487, 2011.
  • Bolognani, S. – Kennel, R. – Kuehl, S. – Paccagnella, G.: Speed and current Model Predictive Control of an IPM synchronous motor drive. In 2011 IEEE International Electric Machines & Drives Conference (IEMDC), pp. 1597--1602, 2011.
  • Soliman, M. – Malik, OP – Westwick, DT: Ensuring Fault Ride Through for Wind Turbines with Doubly Fed Induction Generator: a Model Predictive Control Approach. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 1710--1715, 2011.
  • Ayanian, N. – Kallem, V. – Kumar, V.: Synthesis of feedback controllers for multiple aerial robots with geometric constraints. In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3126--3131, 2011.
  • Donkers, MCF – Heemels, W.: On the minimum attention and the anytime attention control problems for linear systems: A linear programming approach. Arxiv preprint arXiv:1108.2783, 2011.
  • Porreca, R. – Cinquemani, E. – Lygeros, J. – Ferrari-Trecate, G.: Learning the structure of genetic network dynamics: A geometric approach. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 11654--11659, 2011.
  • Zhu, F. – Antsaklis, P.J.: Optimal Control of Switched Hybrid Systems: A Brief Survey. ISIS, pp. 003, 2011.
  • Vieira, M.S. – Galvao, R.K.H. – Kienitz, K.H.: Attitude stabilization with actuators subject to switching-time constraints using explicit MPC. In 2011 IEEE Aerospace Conference, pp. 1--8, 2011.
  • Grtli, E.I. – Johansen, T.A.: Path Planning for UAVs Under Communication Constraints Using SPLAT! and MILP. Journal of Intelligent & Robotic Systems, pp. 1--18, 2011.
  • Sobota, J. – Schlegel, M.: Automatic Tuning of the Pulse-Step Model Predictive Controller. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 4915--4920, 2011.
  • Hara, N. – Kojima, A.: Reduced order model predictive control for constrained discrete-time linear systems. International Journal of Robust and Nonlinear Control, no. 2, vol. 22, pp. 144--169, 2011.
  • Kim, K.D.: Middleware and control of cyber-physical systems: temporal guarantees and hybrid system analysis. 2011.
  • Groot, N. – De Schutter, B. – Zegeye, S. – Hellendoorn, H.: Model-Based Predictive Traffic Control: A Piecewise-Affine Approach Based on METANET. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 10709--10714, 2011.
  • Wenger, M. – Hametner, R. – Zoitl, A. – Voigt, A.: Industrial embedded model predictive controller platform. In 2011 IEEE 16th Conference on Emerging Technologies & Factory Automation (ETFA), pp. 1--4, 2011.
  • Nguyen, H.N. – Olaru, S.: Hybrid modelling and constrained control of juggling systems. International Journal of Systems Science, 2011.
  • Paindaveine, D. – Siman, M.: Computing multiple-output regression quantile regions from projection quantiles. Computational Statistics, pp. 1--21, 2011.
  • Matcovschi, M.H. – Pastravanu, O. – Voicu, M.: On some properties of diagonally stable polytopic systems. In 2011 15th International Conference on System Theory, Control, and Computing (ICSTCC), pp. 1--6, 2011.
  • Zamecnik, D. – Vesely, L.: Model predictive speed controller of permanent magnet synchronous machine. In 2011 IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI), pp. 379--383, 2011.
  • Stoican, F.: Fault tolerant control based on set-theoretic methods. 2011.
  • Takacs, G.: Implementation of MPC Techniques to Real Mechatronic Systems. In Selected Topics on Constrained and Nonlinear Control, Editor(s): Huba, Skogestad, Fikar, Hovd, Johansen, Rohal-Ilkiv, pp. 171--222, 2011.
  • Kalabic, U. – Kolmanovsky, I. – Buckland, J. – Gilbert, E.: Reference and extended command governors for control of turbocharged gasoline engines based on linear models. In 2011 IEEE International Conference on Control Applications (CCA), pp. 319--325, 2011.
  • Ayanian, N. – Kumar, V. – Koditschek, D.: Synthesis of controllers to create, maintain, and reconfigure robot formations with communication constraints. Robotics Research, vol. 70, pp. 625--642, 2009.
  • Zegeye, SK – De Schutter, B. – Hellendoorn, J. – Breunesse, EA: Reduction of area-wide emissions using an efficient model-based traffic control strategy. In 2011 IEEE Forum on Integrated and Sustainable Transportation System (FISTS), pp. 239--244, 2011.
  • Vasak, M. – Starcic, A. – Martincevic, A.: Model predictive control of heating and cooling in a family house. In 2011 Proceedings of the 34th International Convention MIPRO, pp. 739--743, 2011.
  • Lai, C.Y. – Xiang, C. – Lee, T.H.: Data-Based Identification and Control of Nonlinear Systems via Piecewise Affine Approximation. IEEE Transactions on Neural Networks, no. 12, vol. 22, pp. 2189--2200, 2011.
  • Gondhalekar, R.: Performance analysis of asynchronous model predictive control laws. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 1233--1238, 2011.
  • Balandat, M.: Interpolation in Output-Feedback Tube-Based Robust MPC. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 1904--1909, 2011.
  • Trangbaek, K. – Petersen, M. – Bendtsen, J. – Stoustrup, J.: Exact Power Constraints in Smart Grid Control. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 6907--6912, 2011.
  • Casavola, A. – Garone, E. – Tedesco, F.: A Liveliness Analysis of a Distributed Constrained Coordination Strategy for Multi-Agent Linear Systems. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 8133--8138, 2011.
  • Althoff. M. – Krogh, BH: Zonotope Bundles for the Efficient Computation of Reachable Sets. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 6814--6821, 2011.
  • Hempel, A. – Kominek, A. – Werner, H.: Output-Feedback Controlled-Invariant Sets for Systems with Linear Parameter-Varying State Transition Matrix. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 3422--3427, 2011.
  • Dehghan, M. – Ong, Ch. – Chen, P.: Characterization and computation of robust invariant sets for switching systems under dwell-time consideration. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 1166--1171, 2011.
  • Palmieri, G. – Baric, M. – Glielmo, L. – Tseng, E. – Borrelli, F.: Robust Vehicle Lateral Stabilization via Set-Based Methods for Uncertain Piecewise Affine Systems: Experimental Results. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 3252--3257, 2011.
  • Donkers, M.C.F. – Tabuada, P. – Heemels, W.: On the Minimum Attention Control Problem for Linear Systems: A Linear Programming Approach. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 4717--4722, 2011.
  • Mönnigmann, M. – Kastsian, M.: Fast explicit MPC with multiway trees. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 1356--1361, 2011.
  • Bahadorian, M. – Savkovic, B. – Eaton, R. – Hesketh, T.: Toward A Robust Model Predictive Controller Applied To Mobile Vehicle Trajectory Tracking Control. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 13552--13557, 2011.
  • Uchiyama, Y. – Hatanaka, T. – Fujita, M.: Preview Control of an Electrodynamic Shaker using Explicit Receding Horizon Control. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 5783--5788, 2011.
  • Makys, M. – Kozak, S.: Effective method for design of traffic lights control. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 14934--14939, 2011.
  • Nguyen, H.N. – Gutman, P.O. – Olaru, S. – Hovd, M.: Explicit constraint control based on interpolation techniques for time-varying and uncertain linear discrete-time systems. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 5741--5746, 2011.
  • Yordanov, Boyan – Belta, Calin: Formal Analysis of Discrete-Time Piecewise Affine Systems. IEEE Transactions on Automatic Control, no. 12, vol. 55, pp. 2834-2840, 2010.
  • Shen, Tao – Wang, Xiaohong – Yuan, Zhugang: Stability analysis for a class of digital filters with single saturation nonlinearity. Automatica, no. 12, vol. 46, pp. 2112-2115, 2010.
  • Ocampo-Martinez, C. – De Dona, J. A. – Seron, M. M.: Actuator fault-tolerant control based on set separation. International Journal of Adaptive Control and Signal Processing, no. 12, vol. 24, pp. 1070-1090, 2010.
  • Asarin, Eugene – Dang, Thao – Maler, Oded – Testylier, Romain: Using Redundant Constraints for Refinement. In Automated Technology for Verification and Analysis, pp. 37-51, 2010.
  • Laumanns, M.: Computing the Value of Transshipment Flexibility in Distribution Networks. In Progress in Industrial Mathematics At Ecmi 2008, pp. 541-546, 2010.
  • Cychowski, Marcin – Do, Cuong – Serkies, Piotr – Szabat, Krzysztof: Position Tracking in Electrical Drives with Elastic Coupling using Model Predictive Control. In Iecon 2010: 36th Annual Conference of the Ieee Industrial Electronics Society, 2010.
  • Tumova, Jana – Yordanov, Boyan – Belta, Calin – Cerna, Ivana – Barnat, Jiri: A Symbolic Approach to Controlling Piecewise Affine Systems. In 49th Ieee Conference on Decision and Control (CDC), pp. 4230-4235, 2010.
  • Barcelli, Davide – Bemporad, Alberto – Ripaccioli, Giulio: Hierarchical Multi-Rate Control Design for Constrained Linear Systems. In 49th Ieee Conference on Decision and Control (CDC), pp. 5216-5221, 2010.
  • Shekhar, Rohan C. – Maciejowski, Jan M.: Surface Excavation with Model Predictive Control. In 49th Ieee Conference on Decision and Control (CDC), pp. 5239-5244, 2010.
  • Gondhalekar, Ravi – Oldewurtel, Frauke – Jones, Colin N.: Least-Restrictive Robust MPC of Periodic Affine Systems with Application to Building Climate Control. In 49th Ieee Conference on Decision and Control (CDC), pp. 5257-5263, 2010.
  • Yordanov, Boyan – Tumova, Jana – Belta, Calin – Cerna, Ivana – Barnat, Jiri: Formal Analysis of Piecewise Affine Systems through Formula-Guided Refinement. In 49th Ieee Conference on Decision and Control (CDC), pp. 5899-5904, 2010.
  • Comaschi, Francesco – Genuit, Bart A. G. – Oliveri, Alberto – Heemels, W. P. Maurice H. – Storace, Marco: FPGA Implementations of Piecewise Affine Functions Based on Multi-Resolution Hyperrectangular Partitions. Ieee Transactions on Circuits and Systems I-regular Papers, no. 12, vol. 59, pp. 2920-2933, 2012.
  • Rakovic, Sasa V. – Kouvaritakis, Basil – Cannon, Mark – Panos, Christos – Findeisen, Rolf: Parameterized Tube Model Predictive Control. Ieee Transactions on Automatic Control, no. 11, vol. 57, pp. 2746-2761, 2012.
  • Wongpiromsarn, Tichakorn – Topcu, Ufuk – Murray, Richard M.: Receding Horizon Temporal Logic Planning. Ieee Transactions on Automatic Control, no. 11, vol. 57, pp. 2817-2830, 2012.
  • Riverso, Stefano – Ferrari-Trecate, Giancarlo: Tube-based distributed control of linear constrained systems. Automatica, no. 11, vol. 48, pp. 2860-2865, 2012.
  • Wen, Chengtao – Ma, Xiaoyan – Ydstie, B. Erik: Reply to "Comments on 'Analytical expression of explicit MPC solution via lattice piecewise-affine function'". Automatica, no. 11, vol. 48, pp. 2995-2996, 2012.
  • Chen, Yu Christine – Dominguez-Garcia, Alejandro D.: A Method to Study the Effect of Renewable Resource Variability on Power System Dynamics. Ieee Transactions on Power Systems, no. 4, vol. 27, pp. 1978-1989, 2012.
  • Kobayashi, Koichi – Imura, Jun-ichi: Deterministic finite automata representation for model predictive control of hybrid systems. Journal of Process Control, no. 9, vol. 22, pp. 1670-1680, 2012.
  • Eirinakis, Pavlos – Ruggieri, Salvatore – Subramani, K. – Wojciechowski, Piotr: A complexity perspective on entailment of parameterized linear constraints. Constraints, no. 4, vol. 17, pp. 461-487, 2012.
  • Dehghan, Masood – Ong, Chong-Jin: Characterization and computation of disturbance invariant sets for constrained switched linear systems with dwell time restriction. Automatica, no. 9, vol. 48, pp. 2175-2181, 2012.
  • Gao, Yu – Chong, Kil To: The Explicit Constrained Min-Max Model Predictive Control of a Discrete-Time Linear System With Uncertain Disturbances. Ieee Transactions on Automatic Control, no. 9, vol. 57, pp. 2373-2378, 2012.
  • Kastsian, Martin – Jost, Michael – Mönnigmann, M.: New Approaches for the Computation and Fast Evaluation of Explicit Model Predictive Control Laws. At-automatisierungstechnik, no. 8, vol. 60, pp. 433-441, 2012.
  • Rakovic, Sasa V. – Kouvaritakis, Basil – Findeisen, Rolf – Cannon, Mark: Homothetic tube model predictive control. Automatica, no. 8, vol. 48, pp. 1631-1638, 2012.
  • Rivotti, Pedro – Lambert, Romain S. C. – Pistikopoulos, Efstratios N.: Combined model approximation techniques and multiparametric programming for explicit nonlinear model predictive control. Computers & Chemical Engineering, no. SI, vol. 42, pp. 277-287, 2012.
  • Abate, Alessandro – Hillen, Robert C. – Wahl, S. Aljoscha: Piecewise affine approximations of fluxes and enzyme kinetics from in vivo 13C labeling experiments. International Journal of Robust and Nonlinear Control, no. 10, vol. 22, pp. 1120-1139, 2012.
  • Manum, Henrik – Skogestad, Sigurd: Self-optimizing control with active set changes. Journal of Process Control, no. 5, vol. 22, pp. 873-883, 2012.
  • Yordanov, Boyan – Tumova, Jana – Cerna, Ivana – Barnat, Jiri – Belta, Calin: Temporal Logic Control of Discrete-Time Piecewise Affine Systems. Ieee Transactions on Automatic Control, no. 6, vol. 57, pp. 1491-1504, 2012.
  • Bayat, Farhad – Johansen, Tor Arne – Jalali, Ali Akbar: Flexible Piecewise Function Evaluation Methods Based on Truncated Binary Search Trees and Lattice Representation in Explicit MPC. Ieee Transactions on Control Systems Technology, no. 3, vol. 20, pp. 632-640, 2012.
  • Matcovschi, Mihaela-Hanako – Pastravanu, Octavian: Diagonally invariant exponential stability and stabilizability of switching linear systems. Mathematics and Computers in Simulation, no. 8, vol. 82, pp. 1407-1418, 2012.
  • Reinhold, Alexander – Briesen, Heiko: Convex Geometry for the Morphological Modeling and Characterization of Crystal Shapes. Particle & Particle Systems Characterization, no. 3-4, vol. 28, pp. 37-56, 2012.
  • Lofberg, Johan: Oops! I cannot do it again: Testing for recursive feasibility in MPC. Automatica, no. 3, vol. 48, pp. 550-555, 2012.
  • Perez, Emilio – Arino, Carlos – Xavier Blasco, F. – Martinez, Miguel A.: Explicit predictive control with non-convex polyhedral constraints. Automatica, no. 2, vol. 48, pp. 419-424, 2012.
  • Orlowski, Przemyslaw: Effect of the partitions of approximate secant piece-wise affine model on control quality for non-linear, state-dependent system. Przeglad Elektrotechniczny, no. 10A, vol. 88, pp. 69-73, 2012.
  • Chaiwattanapong, N. – Sattarattanakul, P. – Srinophakun, T. – Lersbamrungsuk, V.: Design of a Control Structure for Mass Exchanger Networks. Chemical Engineering Communications, no. 9, vol. 199, pp. 1102-1124, 2012.
  • Palmieri, Giovanni – Baric, Miroslav – Glielmo, Luigi – Borrelli, Francesco: Robust vehicle lateral stabilisation via set-based methods for uncertain piecewise affine systems. Vehicle System Dynamics, no. 6, SI, vol. 50, pp. 861-882, 2012.
  • Kaynama, Shahab – Maidens, John – Oishi, Meeko – Mitchell, Ian M. – Dumont, Guy A.: Computing the Viability Kernel Using Maximal Reachable Sets. In Hscc 12: Proceedings of the 15th Acm International Conference on Hybrid Systems: Computation and Control, pp. 55-63, 2012.
  • Gol, Ebru Aydin – Lazar, Mircea – Belta, Calin: Language-Guided Controller Synthesis for Discrete-Time Linear Systems. In Hscc 12: Proceedings of the 15th Acm International Conference on Hybrid Systems: Computation and Control, pp. 95-104, 2012.
  • Soudjani, Sadegh Esmaeil Zadeh – Abate, Alessandro: Probabilistic Invariance of Mixed Deterministic-Stochastic Dynamical Systems. In Hscc 12: Proceedings of the 15th Acm International Conference on Hybrid Systems: Computation and Control, pp. 207-216, 2012.
  • Serkies, Piotr Jozef – Szabat, Krzysztof: Application of the Predictive speed controller with a fuzzy constraints adaptation to the two-mass drive system. Przeglad Elektrotechniczny, no. 4B, vol. 88, pp. 209-212, 2012.
  • Szederkenyi, Gabor – Hangos, Katalin M. – Tuza, Zsolt: Finding Weakly Reversible Realizations of Chemical Reaction Networks Using Optimization. Match-communications in Mathematical and in Computer Chemistry, no. 1, vol. 67, pp. 193-212, 2012.
  • Rosen, Adam M.: Set identification via quantile restrictions in short panels. Journal of Econometrics, no. 1, vol. 166, pp. 127-137, 2012.
  • Aswani, Anil – Master, Neal – Taneja, Jay – Culler, David – Tomlin, Claire: Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control. Proceedings of the Ieee, no. 1, SI, vol. 100, pp. 240-253, 2012.
  • Fekri, Mohsen Zamani – Samadi, Behzad – Rodrigues, Luis: PWATOOLS: A MATLAB Toolbox For Piecewise-Affine Controller Synthesis. In 2012 American Control Conference (acc), pp. 4484-4489, 2012.
  • Li, Hancao – Haddad, Wassim M.: Model Predictive Control for a Multi-Compartment Respiratory System. In 2012 American Control Conference (acc), pp. 5574-5579, 2012.
  • Lu, Lu – Chen, Zheng – Yao, Bin – Wang, Qingfeng: A Two-Loop Performance-Oriented Tip-Tracking Control of a Linear-Motor-Driven Flexible Beam System With Experiments. Ieee Transactions on Industrial Electronics, no. 3, vol. 60, pp. 1011-1022, 2013.
  • Genuit, B. A. G. – Lu, L. – Heemels, W. P. M. H.: Approximation of explicit model predictive control using regular piecewise affine functions: an input-to-state stability approach. Iet Control Theory and Applications, no. 8, vol. 6, pp. 1015-1028, 2012.
  • Hoai-Nam Nguyen – Olaru, Sorin – Hovd, Morten: A patchy approximation of explicit model predictive control. International Journal of Control, no. 12, vol. 85, pp. 1929-1941, 2012.
  • Tedesco, F. – Casavola, A. – Garone, E.: Distributed Command Governor Strategies for Constrained Coordination of Multi-Agent Networked Systems. In 2012 American Control Conference (acc), pp. 6005-6010, 2012.
  • Nguyen, H.-N. – Olaru, S. – Gutman, P.-O. – Hovd, M.: Robust output feedback interpolation based control for constrained linear systems. In Lecture Notes in Electrical Engineering, pp. 21-36, 2013.
  • Apte, Z.S. – Marshall, W.F.: Statistical method for comparing the level of intracellular organization between cells. Proceedings of the National Academy of Sciences, 2012.
  • Meyer, R. – Zefran, M. – DeCarlo, R.A.: A Comparison of Multi-Parametric Programming, Mixed-Integer Programming, Gradient Descent Based, and the Embedding Approach on Four Published Hybrid Optimal Control Examples. arXiv preprint arXiv:1203.3341, 0000.
  • Spinu, V. – Lazar, M.: Integration of real-time and stability constraints via hybrid polytopic partitions. In Control Applications (CCA), 2012 IEEE International Conference on, pp. 226--233, 2012.
  • Grancharova, A. – Johansen, T.A.: Multi-parametric programming. Lecture Notes in Control and Information Sciences, vol. 429, pp. 1-37, 2012.
  • Andrikopoulos, G. – Nikolakopoulos, G. – Arvanitakis, I. – Manesis, S.: Piecewise affine modeling and constrained optimal control for a pneumatic artificial muscle. IEEE Transactions on Industrial Electronics, no. 2, vol. 61, pp. 904-916, 2014.
  • Testylier, R. – Dang, T.: NLTOOLBOX: A library for reachability computation of nonlinear dynamical systems, vol. 8172 LNAI, 2013.
  • Maidens, J. N. – Kaynama, S. – Mitchell, I. M. – Oishi, M. M. K. – Dumont, G. A.: Lagrangian methods for approximating the viability kernel in high-dimensional systems. Automatica, no. 7, vol. 49, pp. 2017-2029, 2013.
  • Serkies, P. J. – Szabat, K.: Application of the MPC to the position control of the two-mass drive system. IEEE Transactions on Industrial Electronics, no. 9, vol. 60, pp. 3679-3688, 2013.
  • Spinu, V. – Oliveri, A. – Lazar, M. – Storace, M.: FPGA implementation of optimal and approximate model predictive control for a buck-boost DC-DC converter. In Proceedings of the IEEE International Conference on Control Applications, pp. 1417-1423, 2012.
  • Heemels, W. P. M. H. – Johansson, K. H. – Tabuada, P.: An Introduction to Event-triggered and Self-triggered Control. In 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp. 3270-3285, 2012.
  • Ambrosino, R. – Garone, E.: Robust Stability of linear uncertain systems through Piecewise Quadratic Lyapunov Functions defined over conical partitions. In 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp. 2872-2877, 2012.
  • Poggi, Tomaso: Algorithms for the implementation of a low level RF control system for a klystron amplifier. Nuclear Instruments & Methods in Physics Research Section A-ACCelerators Spectrometers Detectors and Associated Equipment, no. 235WT, vol. 729, pp. 506-516, 2013.
  • Gerksic, Samo – de Tommasi, Gianmaria: Vertical stabilization of ITER plasma using explicit model predictive control. Fusion Engineering and Design, no. 6-8, vol. 88, pp. 1082-1086, 2013.
  • Li, Hancao – Haddad, Wassim M.: Model Predictive Control for a Multicompartment Respiratory System. IEEE Transactions on Control Systems Technology, no. 5, vol. 21, pp. 1988-1995, 2013.
  • Bujanovic, Zvonimir: On the permissible arrangements of Ritz values for normal matrices in the complex plane. Linear Algebra and Its Applications, no. 12, vol. 438, pp. 4606-4624, 2013.
  • Johansen, Tor A. – Fossen, Thor I.: Control allocation A-survey. Automatica, no. 5, vol. 49, pp. 1087-1103, 2013.
  • Aswani, Anil – Gonzalez, Humberto – Sastry, S. Shankar – Tomlin, Claire: Provably safe and robust learning-based model predictive control. Automatica, no. 5, vol. 49, pp. 1216-1226, 2013.
  • Feller, Christian – Johansen, Tor Arne – Olaru, Sorin: An improved algorithm for combinatorial multi-parametric quadratic programming. Automatica, no. 5, vol. 49, pp. 1370-1376, 2013.
  • Chen, Yingming – Lu, Chenyang – Koutsoukos, Xenofon D.: Optimal and efficient adaptation in distributed real-time systems with discrete rates. Real-time Systems, no. 3, vol. 49, pp. 339-366, 2013.
  • Perez, Emilio – Beltran, Hector – Aparicio, Nestor – Rodriguez, Pedro: Predictive Power Control for PV Plants With Energy Storage. IEEE Transactions on Sustainable Energy, no. 2, vol. 4, pp. 482-490, 2013.
  • Matos Cavalca, Mariana Santos – Harrop Galvao, Roberto Kawakami – Yoneyama, Takashi: Robust linear matrix inequality-based model predictive control with recursive estimation of the uncertainty polytope. Iet Control Theory and Applications, no. 6, vol. 7, pp. 901-909, 2013.
  • Koenig, Oliver – Gregorcic, Gregor – Jakubek, Stefan: Model predictive control of a DC-DC converter for battery emulation. Control Engineering Practice, no. 4, vol. 21, pp. 428-440, 2013.
  • Nabais, Joao Lemos – Negenborn, Rudy R. – Botto, Miguel Ayala: Model Predictive Control for a Sustainable Transport Modal Split at Intermodal Container Hubs. In 2013 10th IEEE International Conference on Networking, Sensing and Control (icnsc), pp. 591-596, 2013.
  • Huang, Mike – Nakada, Hayato – Polavarapu, Srinivas – Choroszucha, Richard – Butts, Ken – Kolmanovsky, Ilya: Towards Combining Nonlinear and Predictive Control of Diesel Engines. In 2013 American Control Conference (ACC), pp. 2846-2853, 2013.
  • Ozay, Necmiye – Liu, Jun – Prabhakar, Pavithra – Murray, Richard M.: Computing Augmented Finite Transition Systems to Synthesize Switching Protocols for Polynomial Switched Systems. In 2013 American Control Conference (ACC), pp. 6237-6244, 2013.
  • Preindl, Matthias – Bolognani, Silverio: Comparison of Direct and PWM Model Predictive Control for Power Electronic and Drive Systems. In 2013 Twenty-eighth Annual IEEE Applied Power Electronics Conference and Exposition (apec 2013), pp. 2526-2533, 2013.
  • Preindl, Matthias – Bolognani, Silverio – Danielson, Claus: Model Predictive Torque Control with PWM using Fast Gradient Method. In 2013 Twenty-eighth Annual IEEE Applied Power Electronics Conference and Exposition (apec 2013), pp. 2590-2597, 2013.
  • Yordanov, Boyan – Tumova, Jana – Cerna, Ivana – Barnat, Jiri – Belta, Calin: Formal analysis of piecewise affine systems through formula-guided refinement. Automatica, no. 1, vol. 49, pp. 261-266, 2013.
  • Karer, Gorazd – Skrjanc, Igor: Solving Mixed-Integer Optimization Problems. In Predictive Approaches To Control of Complex Systems, pp. 157-168, 2013.
  • Shekhar, Rohan C. – Maciejowski, Jan M.: Optimal Constraint Tightening Policies for Robust Variable Horizon Model Predictive Control. In 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp. 5170-5175, 2012.
  • Kianfar, Roozbeh – Falcone, Paolo – Fredriksson, Jonas: Reachability Analysis of Cooperative Adaptive Cruise Controller. In 2012 15th International IEEE Conference on Intelligent Transportation Systems (itsc), pp. 1537-1542, 2012.
  • Trodden, Paul – Richards, Arthur: Cooperative distributed MPC of linear systems with coupled constraints. Automatica, no. 2, vol. 49, pp. 479-487, 2013.
  • Feller, Christian – Johansen, Tor Arne – Olaru, Sorin: Combinatorial multi-parametric quadratic programming with saturation matrix based pruning. In 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp. 4562-4567, 2012.
  • Joseph-Duran, B. – Jung, M. N. – Ocampo-Martinez, C. – Sager, S. – Cembrano, G.: Minimization of Sewage Network Overflow. Water Resources Management, no. 1, vol. 28, pp. 41-63, 2014.
  • Benavoli, A. – Papi, F.: Set-membership PHD filter. In Proceedings of the 16th International Conference on Information Fusion, FUSION 2013, pp. 1722-1729, 2013.
  • Eirinakis, P. – Ruggieri, S. – Subramani, K. – Wojciechowski, P.: Computational complexities of inclusion queries over polyhedral sets. In International Symposium on Artificial Intelligence and Mathematics, ISAIM 2012, 2012.
  • Gol, E. A. – Lazar, M.: Temporal logic model predictive control for discrete-time systems. In HSCC 2013 - Proceedings of the 16th International Conference on Hybrid Systems: Computation and Control, Part of CPSWeek 2013, pp. 343-352, 2012.
  • Zanini, F. – Atienza, D. – Jones, C. N. – Benini, L. – De Micheli, G.: Online thermal control methods for multiprocessor systems. ACM Transactions on Design Automation of Electronic Systems, no. 1, vol. 18, 2012.
  • Nabais, J. L. – Negenborn, R. R. – Botto, M. A.: A novel predictive control based framework for optimizing intermodal container terminal operations, vol. 7555 LNCS, 2012.
  • Bahadorian, M. – Savkovic, B. – Eaton, R. – Hesketh, T.: Robust Model Predictive Control for automated trajectory tracking of an Unmanned Ground Vehicle. In Proceedings of the American Control Conference, pp. 4251-4256, 2012.
  • Oliveri, A. – Barcelli, D. – Bemporad, A. – Genuit, B. – Heemels, M. – Poggi, T. – Rubagotti, M. – Storace, M.: Moby-dic: A MATLAB Toolbox for circuit-oriented design of explicit MPC. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 218-225, 2012.
  • Rödönyi, G. – Gáspár, P. – Bokor, J. – Palkovics, L.: Design and analysis of an automated heavy vehicle platoon. In ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, pp. 31-37, 2012.
  • Kianfar, R. – Falcone, P. – Fredriksson, J.: Safety verification of automated driving systems. IEEE Intelligent Transportation Systems Magazine, no. 4, vol. 5, pp. 73-86, 2013.
  • Liarokapis, M. V. – Artemiadis, P. K. – Kyriakopoulos, K. J.: Quantifying anthropomorphism of robot hands. In Proceedings - IEEE International Conference on Robotics and Automation, pp. 2041-2046, 2013.
  • Sung, C. – Ayanian, N. – Rus, D.: Improving the performance of multi-robot systems by task switching. In Proceedings - IEEE International Conference on Robotics and Automation, pp. 2999-3006, 2013.
  • Alexis, K. – Huerzeler, C. – Siegwart, R.: Hybrid modeling and control of a coaxial unmanned rotorcraft interacting with its environment through contact. In Proceedings - IEEE International Conference on Robotics and Automation, pp. 5417-5424, 2013.
  • Vasak, M. – Martincevic, A.: Optimal control of a family house heating system. In 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2013 - Proceedings, pp. 907-912, 2013.
  • Huang, M. – Nakada, H. – Polavarapu, S. – Butts, K. – Kolmanovsky, I.: Rate-based model predictive control of diesel engines. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 177-182, 2013.
  • Nabais, J. L. – Negenborn, R. R. – Benitez, R. C. – Botto, M. A.: A multi-agent MPC scheme for vertically integratedmanufacturing supply chains. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 59-64, 2013.
  • Nguyen, M. H. – Tan, K. K. – Liang, W. – Teo, C. S.: Robust precision positioning control on linear ultrasonic motor. In 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013, pp. 170-175, 2013.
  • Stolze, P. – Tomlinson, M. – Kennel, R. – Mouton, T.: Heuristic finite-set model predictive current control for induction machines. In 2013 IEEE ECCE Asia Downunder - 5th IEEE Annual International Energy Conversion Congress and Exhibition, IEEE ECCE Asia 2013, pp. 1221-1226, 2013.
  • Nguyen, M. H. – Tan, K. K. – Teo, C. S.: PID gain scheduling by parametric model predictive control. In 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013, pp. 944-948, 2013.
  • Ladino, A. – Patino, D.: On the stability of predictive controllers for linear systems with variable time delays. In Proceedings of the American Control Conference, pp. 3254-3259, 2013.
  • Wittmann-Hohlbein, M. – Pistikopoulos, E. N.: On the global solution of multi-parametric mixed integer linear programming problems. Journal of Global Optimization, no. 1, vol. 57, pp. 51-73, 2013.
  • Nabais, J. L. – Negenborn, R. R. – Benítez, R. B. C. – Mendonça, L. F. – Lourenço, J. – Botto, M. A.: A multi-agent control architecture for supply chains using a predictive pull-flow perspective, vol. 365, 2013.
  • Qiao, B. – Tang, S. – Ma, K. – Liu, Z.: Relative position and attitude estimation of spacecrafts based on dual quaternion for rendezvous and docking. Acta Astronautica, vol. 91, pp. 237-244, 2013.
  • Yamashita, T. – Hamada, Y. – Yamaguchi, I. – Nagashio, T. – Kida, T.: Robust attitude control of large flexible spacecraft (application of input constrained model predictive control). Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, no. 802, vol. 79, pp. 1935-1948, 2013.
  • Song, Y. – Fu, H. – Yu, H. – Shi, G.: Stable backward reachability correction for PLL verification with consideration of environmental noise induced jitter. In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, pp. 755-760, 2013.
  • Song, Y. – Yu, H. – Dinakarrao, S. M. P. – Shi, G.: SRAM dynamic stability verification by reachability analysis with consideration of threshold voltage variation. In Proceedings of the International Symposium on Physical Design, pp. 43-49, 2013.
  • Groot, N. – De Schutter, B. – Hellendoorn, H.: Integrated model predictive traffic and emission control using a piecewise-affine approach. IEEE Transactions on Intelligent Transportation Systems, no. 2, vol. 14, pp. 587-598, 2013.
  • Karer, G. – Škrjanc, I.: Predictive control based on a reachability analysis, vol. 454, 2013.
  • Yang, Y. – Xiong, Z.: On the generalized gaussian CEO problem. IEEE Transactions on Information Theory, no. 6, vol. 58, pp. 3350-3372, 2012.
  • Gerkšič, S. – Pregelj, B.: Tuning of a tracking multi-parametric predictive controller using local linear analysis. IET Control Theory and Applications, no. 5, vol. 6, pp. 669-679, 2012.
  • Sun, W. – Li, M. – Wang, K.: Approximate explicit model predictive control using high-level canonical piecewise-affine functions. International Journal of Automation and Control, no. 1, vol. 6, pp. 66-80, 2012.
  • Wang, Fengxiang – Zhang, Zhenbin – Davari, Alireza – Rodriguez, Jose – Kennel, Ralph: An experimental assessment of finite-state Predictive Torque Control for electrical drives by considering different online-optimization methods. Control Engineering Practice, no. SI, vol. 31, pp. 1-8, 2014.
  • Nabais, J.L. – Mendonça, L.F. – Botto, M.A.: Promoting collaborative relations at intermodal hubs using an iterative MPC approach. Lecture Notes in Electrical Engineering, vol. 321 LNEE, pp. 51-60, 2015.
  • Quevedo, D.E. – Aguilera, R.P. – Geyer, T.: Predictive control in power electronics and drives: Basic concepts, theory, and methods. Studies in Computational Intelligence, vol. 531, pp. 181-226, 2014.
  • Serkies, P.J. – Wróbel, K.: Multilayer soft switchable predictive speed controller for the drive with elastic coupling and variable dynamics [Wielowarstwowy miękko przełączalny predykcyjny regulator prędkości napędu dwumasowego o zmiennych parametrach]. Przeglad Elektrotechniczny, no. 12, vol. 2014, pp. 7-10, 2014.
  • Serkies, P. – Szabat, K.: Predictive position control of the induction two-mass system drive. In IEEE International Symposium on Industrial Electronics, pp. 871-876, 2014.
  • Gillula, J.H. – Kaynama, S. – Tomlin, C.J.: Sampling-based approximation of the viability kernel for high-dimensional linear sampled-data systems. In HSCC 2014 - Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control (Part of CPS Week), pp. 173-182, 2014.
  • Zanarini, A. – Jafargholi, M. – Peyrl, H.: Exploiting parallelization in explicit model predictive control. In 2013 24th International Conference on Information, Communication and Automation Technologies, ICAT 2013, 2013.
  • Airan, A. – Bhartiya, S. – Bhushan, M.: Linear machine: A novel approach to point location problem. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 445-450, 2013.
  • Peyrl, H. – Liu, J. – Geyer, T.: An FPGA implementation of the fast gradient method for solving the Model Predictive Pulse Pattern Control problem. In SLED/PRECEDE 2013 - 2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics, 2013.
  • Stolze, P. – Karamanakos, P. – Tomlinson, M. – Kennel, R. – Mouton, T. – Manias, S.: Heuristic variable switching point predictive current control for the three-level neutral point clamped inverter. In SLED/PRECEDE 2013 - 2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics, 2013.
  • Szabat, K. – Serkies, P. – Nalepa, R. – Cychowski, M.: Predictive position control of elastic dual-mass drives under torque and speed constraints. In Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference, pp. T579-T583, 2010.
  • Weihua, Z. – Go, T.H.: 3-D formulation of formation flight based on model predictive control with collision avoidance scheme. In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, 2010.
  • Nikolakopoulos, G. – Roussos, N.J. – Alexis, K.: A constrained finite time optimal controller for the diving and steering problem of an autonomous underwater vehicle. In ICINCO 2010 - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, pp. 260-267, 2010.
  • Bayat, F. – Johansen, T.A. – Jalali, A.A.: Managing time-storage complexity in point location problem: Application to explicit Model Predictive Control. In 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings, pp. 610-615, 2010.
  • Szabat, K. – Serkies, P. – Orlowska-Kowalska, T. – Cychowski, M.: Robust torque constraints handling in drive systems with elastic transmission. In Proceedings of the IEEE International Conference on Industrial Technology, pp. 398-403, 2010.
  • Cychowski, M. – Jaskiewicz, R. – Szabat, K.: Model predictive control of an elastic three-mass drive system with torque constraints. In Proceedings of the IEEE International Conference on Industrial Technology, pp. 379-385, 2010.
  • Lima, F.V. – Georgakis, C.: Input-output operability of control systems: The steady-state case. Journal of Process Control, no. 6, vol. 20, pp. 769-776, 2010.
  • Dang, T. – Maler, O. – Testylier, R.: Accurate hybridization of nonlinear systems. In HSCC'10 - Proceedings of the 13th ACM International Conference on Hybrid Systems: Computation and Control, pp. 11-19, 2010.
  • Ghaffari-Hadigheh, A. – Romanko, O. – Terlaky, T.: Bi-parametric convex quadratic optimization. Optimization Methods and Software, no. 2, vol. 25, pp. 229-245, 2010.
  • De Almeida, F.A. – Leißling, D.: Fault-tolerant model predictive control with flight-test results. Journal of Guidance, Control, and Dynamics, no. 2, vol. 33, pp. 363-375, 2010.
  • Lima, F.V. – Jia, Z. – Ierapetritou, M. – Georgakis, C.: Similarities and differences between the concepts of operability and flexibility: The steady-state case. AIChE Journal, no. 3, vol. 56, pp. 702-716, 2010.
  • Szabat, K. – Serkies, P.J.: Control of the drive system with elastic joint using model predictive control [Zastosowanie sterowania predykcyjnego w uktadzie napȩdowym z poła̧czeniem sprȩzystym]. Przeglad Elektrotechniczny, no. 2, vol. 86, pp. 380-383, 2010.
  • Gielen, R. – Lazar, M.: Stabilization of networked control systems via non-monotone control lyapunov functions. In Proceedings of the IEEE Conference on Decision and Control, pp. 7942-7948, 2009.
  • Kaynama, S. – Oishi, M.: Schur-based decomposition for reachability analysis of linear time-invariant systems. In Proceedings of the IEEE Conference on Decision and Control, pp. 69-74, 2009.
  • Dou, L. – Dong, L. – Chen, J. – Xia, Y.: Predictive control for mechanical system with backlash based on hybrid model. Journal of Systems Engineering and Electronics, no. 6, vol. 20, pp. 1301-1308, 2009.
  • Hlava, J.: Hybrid modelling and control of a power plant three-stage reheater. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 32-37, 2009.
  • Gielen, R.H. – Lazar, M.: Further results on stabilization of linear systems with time-varying input delay. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 55-60, 2009.
  • Borrelli, F. – Del Vecchio, C. – Parisio, A.: Robust invariant sets for constrained storage systems. Automatica, no. 12, vol. 45, pp. 2930-2936, 2009.
  • De Almeida, F.A. – Leißlingy, D.: Fault-tolerant model predictive control with flight test results on ATTAS. In AIAA Guidance, Navigation, and Control Conference and Exhibit, 2009.
  • Dou, L.-H. – Dong, L.-X. – Zhang, J. – Feng, H.-P.: Constrained time-optimal predictive control for a class of systems with backlash. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, no. 6, vol. 38, pp. 962-966, 2009.
  • Cychowski, M. – Szabat, K.: Model predictive speed control with optimal torque constraints handling of drive systems with elastic transmission. In 2009 IEEE International Electric Machines and Drives Conference, IEMDC '09, pp. 251-258, 2009.
  • Cychowski, M. – Szabat, K. – Orlowska-Kowalska, T.: Constrained model predictive control of the drive system with mechanical elasticity. IEEE Transactions on Industrial Electronics, no. 6, vol. 56, pp. 1963-1973, 2009.
  • Zhang, J. – Hao, P. – Wang, W.-L.: Multi-parametric-programming-based feasible region-expansion algorithm for synthesis of explicit model predictive control system. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, no. 3, vol. 26, pp. 305-308, 2009.
  • Dong, L. – Dou, L. – Feng, H.: Hybrid Time-Optimal predictive control for mechanical systems with backlash nonlinearity. In 2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008, pp. 281-285, 2008.
  • Dritsas, L. – Tzes, A.: Constrained control of event-driven networked systems. In IFAC Proceedings Volumes (IFAC-PapersOnline), 2008.
  • Cychowski, M. – Delaney, K. – Szabat, K.: Low-cost high-performance predictive control of drive systems with elastic coupling. In 2008 13th International Power Electronics and Motion Control Conference, EPE-PEMC 2008, pp. 2241-2247, 2008.
  • Oishi, M. – Mitchell, I.M. – Bayen, A.M. – Tomlin, C.J.: Invariance-preserving abstractions of hybrid systems: Application to user interface design. IEEE Transactions on Control Systems Technology, no. 2, vol. 16, pp. 229-244, 2008.
  • Lazar, M. – Muñoz De La Peña, D. – Heemels, W.P.M.H. – Alamo, T.: New methods for computing the terminal cost for min-max model predictive control. In Proceedings of the American Control Conference, pp. 4476-4481, 2007.
  • Dritsas, L. – Nikolakopoulos, G. – Tzes, A.: Constrained optimal control for a special class of networked systems. In Proceedings of the American Control Conference, pp. 1009-1014, 2007.
  • Kukreja, S.L. – Brenner, M.J.: Nonlinear system identification of aeroelastic systems: A structure-detection approach, 2007.
  • Alessandri, A. – Sacone, S. – Siri, S.: Modelling and optimal receding-horizon control of maritime container terminals. Journal of Mathematical Modelling and Algorithms, no. 1, vol. 6, pp. 109-133, 2007.
  • Asarin, E. – Dang, T. – Girard, A.: Hybridization methods for the analysis of nonlinear systems. Acta Informatica, no. 7, vol. 43, pp. 451-476, 2007.
  • Kurzhanskiy, A.A. – Varaiya, P.: Ellipsoidal techniques for reachability analysis of discrete-time linear systems. IEEE Transactions on Automatic Control, no. 1, vol. 52, pp. 26-38, 2007.
  • Kurzhanskiy, A.A. – Varaiya, P.: Ellipsoidal Toolbox (ET). In Proceedings of the IEEE Conference on Decision and Control, pp. 1498-1503, 2006.
  • Dritsas, L. – Nikolakopoulos, G. – Tzes, A.: Constrained finite time optimal control of a micro-capacitor. In IECON Proceedings (Industrial Electronics Conference), pp. 3161-3165, 2006.
  • Lazar, M. – Heemels, W.P.M.H.: A new dual-mode hybrid MPC algorithm with a robust stability guarantee. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 321-328, 2006.
  • Heemels, W.P.M.H. – Sandee, J.H.: Practical stability of perturbed event-driven controlled linear systems. In Proceedings of the American Control Conference, pp. 4379-4386, 2006.
  • Nikolakopoulos, G. – Dritsas, L. – Tzes, A. – Lygeros, J.: Adaptive constrained control of uncertain ARMA-systems based on set membership identification. In 14th Mediterranean Conference on Control and Automation, MED'06, 2006.
  • Dritsas, L. – Nikolakopoulos, G. – Tzes, A.: Constrained finite time control of networked systems with uncertain delays. In 14th Mediterranean Conference on Control and Automation, MED'06, 2006.
  • Dritsas, L. – Nikolakopoulos, G. – Tzes, A.: Constrained Optimal Control over networks with uncertain delays. In Proceedings of the IEEE Conference on Decision and Control, pp. 4993-4998, 2006.
  • McCourt, R.A. – de Silva, C.W.: Autonomous robotic capture of a satellite using constrained predictive control. IEEE/ASME Transactions on Mechatronics, no. 6, vol. 11, pp. 699-708, 2006.
  • Lazar, M. – Heemels, W.P.M.H. – Weiland, S. – Bemporad, A.: Stabilizing model predictive control of hybrid systems. IEEE Transactions on Automatic Control, no. 11, vol. 51, pp. 1813-1818, 2006.
  • Ferrari-Trecate, G. – Gati, M.: Observability analysis and state observers for automotive powertrains with backlash: A hybrid system approach. International Journal of Control, no. 5, vol. 79, pp. 496-507, 2006.
  • Linder, A. – Kennel, R.: Direct model predictive control - A new direct predictive control strategy for electrical drives. In 2005 European Conference on Power Electronics and Applications, 2005.
  • Lygeros, J.: An overview of research areas in hybrid control. In Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05, pp. 5600-5605, 2005.
  • Tzes, A. – Nikolakopoulos, G. – Dritsas, L. – Koveos, Y.: Multi-parametric H∞ control of a micro-actuator. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 964-969, 2005.
  • Linder, A. – Kennel, R.: Model predictive control for electrical drives. In PESC Record - IEEE Annual Power Electronics Specialists Conference, pp. 1793-1799, 2005.
  • Gati, M. – Ferrari-Trecate, G.: Computation of observability regions for piecewise affine systems: A projection-based algorithm. In Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05, pp. 6922-6927, 2005.
  • Giorgetti, N. – Pappas, G.J. – Bemporad, A.: Bounded model checking of hybrid dynamical systems. In Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05, pp. 672-677, 2005.
  • Geyer, T. – Papafotiou, G.: Direct Torque Control for induction motor drives: A Model Predictive Control approach based on feasibility. In Lecture Notes in Computer Science, pp. 274-290, 2005.
  • Vlad, Cristina – Rodriguez-Ayerbe, Pedro – Godoy, Emmanuel – Lefranc, Pierre: Advanced control laws of DC-DC converters based on piecewise affine modelling. Application to a step-down converter. Iet Power Electronics, no. 6, vol. 7, pp. 1482-1498, 2014.
  • Beccuti, Giovanni – Papafotiou, Georgios – Harnefors, Lennart: Multivariable Optimal Control of HVDC Transmission Links With Network Parameter Estimation for Weak Grids. IEEE Transactions on Control Systems Technology, no. 2, vol. 22, pp. 676-689, 2014.
  • Szabat, Krzysztof – Serkies, Piotr – Orlowska-Kowalska, Teresa: Application of the Long-Horizon Predictive Control to the Drive System with Elastic Joint. In Advanced and Intelligent Control in Power Electronics and Drives, pp. 249-265, 2014.
  • Darup, Moritz Schulze – Mönnigmann, M.: Null-Controllable Set Computation for a Class of Constrained Bilinear Systems. In 2013 European Control Conference (ECC), pp. 2758-2763, 2013.
  • Raimondo, Davide M. – Marseglia, G. Roberto – Braatz, Richard D. – Scott, Joseph K.: Fault-Tolerant Model Predictive Control with Active Fault Isolation. In 2013 2nd International Conference on Control and Fault-tolerant Systems (systol), pp. 444-449, 2013.
  • Thomas, Jean: Robust Model Predictive Controller for Uncertain Piecewise Affine Systems. Arabian Journal for Science and Engineering, no. 10, vol. 39, pp. 7421-7432, 2014.
  • Zhuge, Jinjun – Ierapetritou, Marianthi G.: Integration of Scheduling and Control for Batch Processes Using Multi-Parametric Model Predictive Control. Aiche Journal, no. 9, vol. 60, pp. 3169-3183, 2014.
  • Gao, Yiqi – Gray, Andrew – Tseng, H. Eric – Borrelli, Francesco: A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles. Vehicle System Dynamics, no. 6, vol. 52, pp. 802-823, 2014.
  • Orlowski, P.: Complexity Analysis of the Piece-Wise Affine Approximation for the Car on the Nonlinear Hill Model Related to Discrete-Time, Minimum Time Control Problem. Elektronika Ir Elektrotechnika, no. 10, vol. 20, pp. 3-U8, 2014.
  • Subramanian, Kaushik – Rawlings, James B. – Maravelias, Christos T.: Economic model predictive control for inventory management in supply chains. Computers & Chemical Engineering, vol. 64, pp. 71-80, 2014.
  • Arino, Carlos – Perez, Emilio – Sala, Antonio – Bedate, Fernando: Polytopic invariant and contractive sets for closed-loop discrete fuzzy systems. Journal of the Franklin Institute-engineering and Applied Mathematics, no. 7, SI, vol. 351, pp. 3559-3576, 2014.
  • Wang, Yizhou – Chen, Wenjie – Tomizuka, Masayoshi – Alsuwaidan, Badr N.: MODEL PREDICTIVE SLIDING MODE CONTROL - FOR CONSTRAINT SATISFACTION AND ROBUSTNESS. In Asme 2013 Dynamic Systems and Control Conference, Vol. 3, 2013.
  • Arino, Carlos – Perez, Emilio – Bedate, Fernando – Sala, Antonio: Robust Polytopic Invariant Sets for Discrete Fuzzy Control Systems. In 2013 IEEE International Conference on Fuzzy Systems (fuzz - IEEE 2013), 2013.
  • Simon, Daniel – Lofberg, Johan – Glad, Torkel: Nonlinear Model Predictive Control using Feedback Linearization and Local Inner Convex Constraint Approximations. In 2013 European Control Conference (ECC), pp. 2056-2061, 2013.
  • Marinkov, Sava – de Jager, Bram – Steinbuch, Maarten: Model predictive control of a high speed switched reluctance generator system. In 2013 European Control Conference (ECC), pp. 4592-4597, 2013.
  • Stoican, F – Olaru, S: Set-Theoretic Fault-Tolerant Control in Multisensor Systems. In Set-theoretic Fault-tolerant Control in Multisensor Systems, pp. 1-152, 2013.
  • Simon, Daniel – Lofberg, Johan – Glad, Torkel: Reference Tracking MPC using Terminal Set Scaling. In 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp. 4543-4548, 2012.
  • Casavola, Alessandro – Garone, Emanuele – Tedesco, Francesco: A Distributed Multi-Agent Command Governor Strategy for the Coordination of Networked Interconnected Systems. IEEE Transactions on Automatic Control, no. 8, vol. 59, pp. 2099-2112, 2014.
  • Rivotti, Pedro – Pistikopoulos, Efstratios N.: A dynamic programming based approach for explicit model predictive control of hybrid systems. Computers & Chemical Engineering, vol. 72, pp. 126-144, 2015.
  • Witheephanich, Kritchai – Escano, Juan M. – de la Pena, David Munoz – Hayes, Martin J.: A Min-Max Model Predictive Control Approach to Robust Power Management in Ambulatory Wireless Sensor Networks. IEEE Systems Journal, no. 4, vol. 8, pp. 1060-1073, 2014.
  • Alexis, Kostas – Nikolakopoulos, George – Tzes, Anthony: Experimental Constrained Optimal Attitude Control of a Quadrotor Subject to Wind Disturbances. International Journal of Control Automation and Systems, no. 6, vol. 12, pp. 1289-1302, 2014.
  • Graf, Christoph – Six, Magdalena: The effect of information on the quality of decisions. Central European Journal of Operations Research, no. 4, vol. 22, pp. 647-662, 2014.
  • Gain, Arun L. – Talischi, Cameron – Paulino, Glaucio H.: On the Virtual Element Method for three-dimensional linear elasticity problems on arbitrary polyhedral meshes. Computer Methods in Applied Mechanics and Engineering, vol. 282, pp. 132-160, 2014.
  • Loehning, Martin – Reble, Marcus – Hasenauer, Jan – Yu, Shuyou – Allgoewer, Frank: Model predictive control using reduced order models: Guaranteed stability for constrained linear systems. Journal of Process Control, no. 11, vol. 24, pp. 1647-1659, 2014.
  • Alexis, Kostas – Huerzeler, Christoph – Siegwart, Roland: Hybrid predictive control of a coaxial aerial robot for physical interaction through contact. Control Engineering Practice, no. SI, vol. 32, pp. 96-112, 2014.
  • Takacs, Gergely – Rohaľ-Ilkiv, B.: Model predictive control algorithms for active vibration control: a study on timing, performance and implementation properties. Journal of Vibration and Control, no. 13, vol. 20, pp. 2061-2080, 2014.
  • Meyer, Richard T. – Zefran, Milos – DeCarlo, Raymond A.: A Comparison of the Embedding Method With Multiparametric Programming, Mixed-Integer Programming, Gradient-Descent, and Hybrid Minimum Principle-Based Methods. IEEE Transactions on Control Systems Technology, no. 5, vol. 22, pp. 1784-1800, 2014.
  • Brim, L. – Dluhos, P. – Safranek, D. – Vejpustek, T.: STL{*}: Extending signal temporal logic with signal-value freezing operator. Information and Computation, no. SI, vol. 236, pp. 52-67, 2014.
  • Smith, Ryan N. – Huynh, Van T.: Controlling Buoyancy-Driven Profiling Floats for Applications in Ocean Observation. IEEE Journal of Oceanic Engineering, no. 3, vol. 39, pp. 571-586, 2014.
  • Gautam, A. – Soh, Y. C.: Constraint-softening in model predictive control with off-line-optimized admissible sets for systems with additive and multiplicative disturbances. Systems & Control Letters, vol. 69, pp. 65-72, 2014.
  • Donkers, M. C. F. – Tabuada, P. – Heemels, W. P. M. H.: Minimum attention control for linear systems. Discrete Event Dynamic Systems-theory and Applications, no. 2, vol. 24, pp. 199-218, 2014.
  • Song, Yang – Yu, Hao – DinakarRao, Sai Manoj Pudukotai: Reachability-Based Robustness Verification and Optimization of SRAM Dynamic Stability Under Process Variations. IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, no. 4, SI, vol. 33, pp. 585-598, 2014.
  • Hartley, Edward N. – Maciejowski, Jan M.: Reconfigurable predictive control for redundantly actuated systems with parameterised input constraints. Systems & Control Letters, vol. 66, pp. 8-15, 2014.
  • Soudjani, Sadegh Esmaeil Zadeh – Abate, Alessandro: Probabilistic Reach-Avoid Computation for Partially Degenerate Stochastic Processes. IEEE Transactions on Automatic Control, no. 2, vol. 59, pp. 528-534, 2014.
  • Zhao, Meng – Tang, Xiaoming: Robust Tube-Based MPC with Piecewise Affine Control Laws. Abstract and Applied Analysis, no. 358148, 2014.
  • Nguyen, H. -N. – Gutman, P. -O. – Olaru, S. – Hovd, M.: Control with constraints for linear stationary systems: An interpolation approach. Automation and Remote Control, no. 1, vol. 75, pp. 57-74, 2014.
  • Mohaqeqi, Morteza – Kargahi, Mehdi – Dehghan, Maryam: Adaptive Scheduling of Real-Time Systems Cosupplied by Renewable and Nonrenewable Energy Sources. Acm Transactions on Embedded Computing Systems, no. 1, vol. 13, 2013.
  • Geyer, Tobias: Model Predictive Direct Torque Control: Derivation and Analysis of the State-Feedback Control Law. IEEE Transactions on Industry Applications, no. 5, vol. 49, 2013.
  • Rodriguez-Ayerbe, P. – Olaru, S.: On the disturbance model in the robustification of explicit predictive control. International Journal of Systems Science, no. 5, vol. 44, pp. 853-864, 2013.
  • Nilsson, Julia – Sjoberg, Jonas: Strategic decision making for automated driving on two-lane, one way roads using model predictive control. In 2013 IEEE Intelligent Vehicles Symposium (iv), pp. 1253-1258, 2013.
  • Huang, Mike – Nakada, Hayato – Polavarapu, Srinivas – Butts, Ken – Kolmanovsky, Ilya: RATE-BASED CONTRACTIVE MODEL PREDICTIVE CONTROL OF DIESEL AIR. In Proceedings of the Asme 2013 Dynamic Systems and Control Conference (dscc2013), Vol. 1, 2013.
  • Jost, Michael – Mönnigmann, M.: Accelerating online MPC with partial explicit information and linear storage complexity in the number of constraints. In 2013 European Control Conference (ECC), pp. 35-40, 2013.
  • Carvalho, Ashwin – Palmieri, Giovanni – Tseng, H. Eric – Glielmo, Luigi – Borrelli, Francesco: Robust Vehicle Stability Control with an Uncertain Driver Model. In 2013 European Control Conference (ECC), pp. 440-445, 2013.
  • Brunner, Florian D. – Lazar, Mircea – Allgoewer, Frank: Stabilizing Linear Model Predictive Control: On the Enlargement of the Terminal Set. In 2013 European Control Conference (ECC), pp. 511-517, 2013.
  • Feller, Christian – Johansen, Tor Arne: Explicit MPC of higher-order linear processes via combinatorial multi-parametric quadratic programming. In 2013 European Control Conference (ECC), pp. 536-541, 2013.
  • Roedoenyi, Gabor – Gaspar, Peter: Model invalidation for repeated l(1)-bounded linear time-varying uncertainty models. In 2013 European Control Conference (ECC), pp. 1347-1352, 2013.
  • Papachristos, Christos – Alexis, Kostas – Tzes, Anthony: Hybrid Model Predictive Flight Mode Conversion Control of Unmanned Quad-TiltRotors. In 2013 European Control Conference (ECC), pp. 1793-1798, 2013.
  • Baramov, Lubomir – Havlena, Vladimir: Robust optimization on receding horizon of processes with storages and periodic production and consumption contracts. In 2013 European Control Conference (ECC), pp. 4448-4453, 2013.
  • Cimini, Gionata – Fossi, Valentino – Ippoliti, Gianluca – Mencarelli, Stefano – Orlando, Giuseppe – Pirro, Matteo: Model Predictive Control Solution for Permanent Magnet Synchronous Motors. In 39th Annual Conference of the IEEE Industrial Electronics Society (iecon 2013), pp. 5824-5829, 2013.
  • Spinu, V. – Schellekens, J. M. – Lazar, M. – Hendrix, M. A. M.: On real-time optimal control of high-precision switching amplifiers. In 2013 17th International Conference on System Theory, Control and Computing (icstcc), pp. 507, 2013.
  • Acosta-Santana, P. – Rodriguez-Alfaro, L. H. – Alcorta-Garcia, E.: A Cascade Structure Approach to Control Reconfiguration. In 2013 2nd International Conference on Control and Fault-tolerant Systems (systol), pp. 347-352, 2013.
  • Shen, Yeye – Xie, Lei – Li, Xiuliang: Explicit Hybrid Model Predictive Control of the Forward DC-DC Converter. In 2013 25th Chinese Control and Decision Conference (cCDC), pp. 638-642, 2013.
  • Tabti, Khatir – Bourahla, Mohamend – Mostefai, Lotfi: HYBRID CONTROL OF ELECTRIC VEHICLE LATERAL DYNAMICS STABILIZATION. Journal of Electrical Engineering-elektrotechnicky Casopis, no. 1, vol. 64, pp. 50-54, 2013.
  • Bjazic, Toni – Ban, Zeljko – Peric, Nedjeljko: Adaptive Control of Peak Current Mode Controlled Boost Converter Supplied by Fuel Cell. Journal of Power Electronics, no. 1, vol. 13, pp. 122-138, 2013.
  • Ulbig, Andreas – Andersson, Goeran: Analyzing operational flexibility of electric power systems. International Journal of Electrical Power & Energy Systems, no. SI, vol. 72, pp. 155-164, 2015.
  • Shekhar, Rohan C. – Kearney, Michael – Shames, Iman: Robust Model Predictive Control of Unmanned Aerial Vehicles Using Waysets. Journal of Guidance Control and Dynamics, no. 10, vol. 38, pp. 1898-1907, 2015.
  • Brunner, Florian D. – Lazar, Mircea – Allgoewer, Frank: Stabilizing model predictive control: On the enlargement of the terminal set. International Journal of Robust and Nonlinear Control, no. 15, vol. 25, pp. 2646-2670, 2015.
  • Li, Tong – Oka, Tatsushi: Set identification of the censored quantile regression model for short panels with fixed effects. Journal of Econometrics, no. 2, vol. 188, pp. 363-377, 2015.
  • Ambrosino, Roberto – Garone, Emanuele: Piecewise quadratic Lyapunov functions over conical partitions for robust stability analysis. International Journal of Robust and Nonlinear Control, no. 14, vol. 25, pp. 2348-2361, 2015.
  • Richards, Arthur: Fast Model Predictive Control with soft constraints. European Journal of Control, vol. 25, pp. 51-59, 2015.
  • Nilsson, Josef – Falcone, Paolo – Vinter, Jonny: Safe Transitions From Automated to Manual Driving Using Driver Controllability Estimation. IEEE Transactions on Intelligent Transportation Systems, no. 4, vol. 16, pp. 1806-1816, 2015.
  • Oliveri, Alberto – Gianoglio, Christian – Ragusa, Edoardo – Storace, Marco: Low-complexity digital architecture for solving the point location problem in explicit Model Predictive Control. Journal of the Franklin Institute-engineering and Applied Mathematics, no. 6, vol. 352, pp. 2249-2258, 2015.
  • Danielson, Claus – Borrelli, Francesco: Symmetric Linear Model Predictive Control. IEEE Transactions on Automatic Control, no. 5, vol. 60, pp. 1244-1259, 2015.
  • Cristina Martinez-Rodriguez, Macarena – Brox, Piedad – Baturone, Iluminada: Digital VLSI Implementation of Piecewise-Affine Controllers Based on Lattice Approach. IEEE Transactions on Control Systems Technology, no. 3, vol. 23, pp. 842-854, 2015.
  • Adzkiya, Dieky – De Schutter, Bart – Abate, Alessandro: Computational techniques for reachability analysis of Max-Plus-Linear systems. Automatica, vol. 53, pp. 293-302, 2015.
  • Hredzak, Branislav – Agelidis, Vassilios G. – Demetriades, Georgios: Application of explicit model predictive control to a hybrid battery-ultracapacitor power source. Journal of Power Sources, vol. 277, pp. 84-94, 2015.
  • Soudjani, Sadegh Esmeil Zadeh – Abate, Alessandro: QUANTITATIVE APPROXIMATION OF THE PROBABILITY DISTRIBUTION OF A MARKOV PROCESS BY FORMAL ABSTRACTIONS. Logical Methods in Computer Science, no. 3, vol. 11, 2015.
  • Kaynama, S. – Mitchell, I.M. – Oishi, M. – Dumont, G.A.: Scalable safety-preserving robust control synthesis for continuous-time linear systems. IEEE Transactions on Automatic Control, no. 11, vol. 60, pp. 3065-3070, 2015.
  • Bumroongsri, P. – Lersbamrungsuk, V. – Kheawhom, S.: Off-Line Tube-Based Robust Model Predictive Control for Uncertain and Highly Exothermic Polymerization Processes. Computer Aided Chemical Engineering, vol. 37, pp. 1709-1714, 2015.
  • Hernandez-Mejias, Manuel A. – Sala, Antonio – Arino, Carlos – Querol, Andres: Fault-Tolerant Predictive Control for Markov Linear Systems. In 2014 IEEE International Conference on Automation, Quality and Testing, Robotics, 2014.
  • Wrobel, K.: Multilayer soft switchable predictive speed controller for the drive with elastic coupling. In Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, pp. 439-442, 2015.
  • Gaulocher, S. – Papafotiou, G.: Explicit Moving Horizon Estimation in dc-dc converters. In 2009 European Control Conference, ECC 2009, pp. 3945-3950, 2009.
  • Gondhalekar, R. – Imura, J.-I.: Performance measures in model predictive control with non-linear prediction horizon time-discretization. In 2007 European Control Conference, ECC 2007, pp. 467-474, 2007.
  • Nikolakopoulos, G. – Roussos, N.J.: Optimal depth controller for an autonomous underwater vehicle under constrains and uncertainties. In 2007 European Control Conference, ECC 2007, pp. 5233-5238, 2007.
  • Giselsson, Pontus – Boyd, Stephen: Metric selection in fast dual forward-backward splitting. Automatica, vol. 62, pp. 1-10, 2015.
  • Kouzoupis, D. – Zanelli, A. – Peyrl, H. – Ferreau, H.J.: Towards proper assessment of QP algorithms for embedded model predictive control. In Control Conference (ECC), 2015 European, pp. 2609-2616, 2015.
  • Zhu, F. – Antsaklis, P.: Optimal control of hybrid switched systems: A brief survey. Discrete Event Dynamic Systems, no. 3, vol. 25, pp. 345-364, 2015.
  • Yuxing Liu – Junqiang Zhou – Fiorentini, L. – Canova, M. – Yue-Yun Wang: Model Predictive Control of a two-stage turbocharged Diesel engine air-path system for rapid catalyst warm-up. In Control Conference (ECC), 2015 European, pp. 123-128, 2015.
  • Costa, D.E.S. – Galvao, R.K.H. – de Almeida, F.A. – Afonso, R.J.M.: Improving fault tolerance in model predictive control through enlargement of the recursively feasible set. In Control Conference (ECC), 2015 European, pp. 3059-3065, 2015.
  • Bemporad, A.: A multiparametric quadratic programming algorithm with polyhedral computations based on nonnegative least squares. IEEE Transactions on Automatic Control, no. 11, vol. 60, pp. 2892-2903, 2015.
  • Saidi, E. – Hammi, Y. – Douik, A.: Explicit model-predictiv e control of hybrid dynamical systems: Application to a two-tank system. In Systems, Signals Devices (SSD), 2015 12th International Multi-Conference on, pp. 1-6, 2015.
  • Mavrogiannis, Christoforos I. – Liarokapis, Minas V. – Kyriakopoulos, Kostas J.: Quantifying anthropomorphism of robot arms. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, pp. 4084-4089, 2015.
  • Nabais, J.L. – Negenborn, R.R. – Carmona Benítez, R.B. – Ayala Botto, M.: Achieving transport modal split targets at intermodal freight hubs using a model predictive approach. Transportation Research Part C: Emerging Technologies, vol. 60, pp. 278-297, 2015.
  • Arino, C.V. – Sala, A.: Shape-dependent maximal controllable sets for constrained discrete-time TS systems. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on, pp. 1-7, 2015.
  • Pastravanu, O. – Matcovschi, M.-H. – Voicu, M.: Interval systems - construction and exploitation of diagonal Lyapunov functions. In System Theory, Control and Computing (ICSTCC), 2015 19th International Conference on, pp. 13-18, 2015.
  • Chen, Y. – Li, S. – Li, N.: Complexity reduced explicit model predictive control by solving approximated mp-QP program. In Control Conference (ASCC), 2015 10th Asian, pp. 1-6, 2015.
  • Martinez-Rodriguez, M.C. – Brox, P. – Tena, E. – Acosta, A.J. – Baturone, I.: Programmable ASICs for model predictive control. In Industrial Technology (ICIT), 2015 IEEE International Conference on, pp. 1593-1598, 2015.
  • Turnip, A. – Tamba, T.A.: Algorithmic modeling and analysis of nonlinear biological systems. In Control Conference (ASCC), 2015 10th Asian, pp. 1-6, 2015.
  • Belda, K.: On-line solution of system constraints in generalized predictive control design. In Process Control (PC), 2015 20th International Conference on, pp. 25-30, 2015.
  • Huynh, V.T. – Dunbabin, M. – Smith, R.N.: Predictive motion planning for AUVs subject to strong time-varying currents and forecasting uncertainties. In Robotics and Automation (ICRA), 2015 IEEE International Conference on, pp. 1144-1151, 2015.
  • Xi Luo – de Jager, B. – Heijman, E. – Heemels, W.: Set-based MPC with an Application to Enhanced Local Hyperthermia for Cancer Treatment. In 5th IFAC Conference on Nonlinear Model Predictive Control NMPC 2015, pp. 477–482, 2015.
  • Mohammadkhan, M. – Bayat, F. – Ali Akbar Jalali: Two-stage observer based offset-free MPC. ISA Transactions, vol. 57, pp. 136–143, 2015.
  • Pastravanu, O. – Matcovschi, M.: Sufficient conditions for Schur and Hurwitz diagonal stability of complex interval matrices. Linear Algebra and its Applications, vol. 467, pp. 149–173, 2015.
  • ROJAS MONRROY, C.: Multiobjective Finite Control Set Model Predictive Torque and Stator Flux Control of an Induction Machine. 2015.
  • Stoican, F. – Prodan, I. – Popescu, D.: Flat trajectory generation for way-points relaxations and obstacle avoidance. In 2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings, pp. 695-700, 2015.
  • Schorsch, S. – Hours, J.-H. – Vetter, T. – Mazzotti, M. – Jones, C.N.: An optimization-based approach to extract faceted crystal shapes from stereoscopic images. Computers and Chemical Engineering, vol. 75, pp. 171-183, 2015.
  • Kogel, M. – Findeisen, R.: Discrete-time robust model predictive control for continuous-time nonlinear systems. In Proceedings of the American Control Conference, pp. 924-930, 2015.
  • Taghavipour, A. – Azad, N.L. – McPhee, J.: Real-Time predictive control strategy for a plug-in hybrid electric powertrain. Mechatronics, vol. 29, pp. 13-27, 2015.
  • Trottemant, E.J. – Scherer, C.W. – Mazo, M.: Optimality of robust disturbance-feedback strategies. International Journal of Robust and Nonlinear Control, pp. DOI: 10.1002/rnc.3360, 2015.
  • Arino, Carlos – Sala, Antonio – Perez, Emilio – Bedate, Fernando – Querol, Andres: Asymptotically exact stabilisationfor constrained discrete Takagi-Sugeno systems via set-invariance. Fuzzy Sets and Systems, vol. 316, pp. 117-138, 2017.
  • Dantas, A.D.O.S. – Dantas, A.O.A. – Dorea, C.E.T.: Design of state observers with error limitation using cluster analysis. In Proceedings of the IEEE International Symposium on Computer-Aided Control System Design, pp. 1072-1077, 2016.
  • Hernandez-Mejias, Manuel A. – Sala, Antonio – Arino, Carlos – Querol, Andres: Reliable controllable sets for constrained Markov-Jump Linear Systems. International Journal of Robust and Nonlinear Control, no. 10, vol. 26, pp. 2075-2089, 2016.
  • Hoai-Nam Nguyen – Gutman, Per-Olof – Olaru, Sorin – Hovd, Morten: Explicit improved vertex control for uncertain, time-varying linear discrete-time systems with state and control constraints. International Journal of Robust and Nonlinear Control, no. 12, vol. 26, pp. 2652-2667, 2016.
  • Garrido, Izaskun – Garrido, Aitor J. – Coda, Stefano – Le, Hoang B. – Moret, Jean Marc: Real Time Hybrid Model Predictive Control for the Current Profile of the Tokamak a Configuration Variable (TCV). Energies, no. 8, vol. 9, 2016.
  • Oberdieck, Richard – Diangelakis, Nikolaos A. – Papathanasiou, Maria M. – Nascu, Ioana – Pistikopoulos, Efstratios N.: POP - Parametric Optimization Toolbox. Industrial & Engineering Chemistry Research, no. 33, vol. 55, pp. 8979-8991, 2016.
  • Ben Sassi, Mohamed Amin – Sankaranarayanan, Sriram – Chen, Xin – Abraham, Erika: Linear relaxations of polynomial positivity for polynomial Lyapunov function synthesis. Ima Journal of Mathematical Control and Information, no. 3, vol. 33, pp. 723-756, 2016.
  • Mynar, Z. – Vesely, L. – Vaclavek, P.: PMSM Model Predictive Control with Field-Weakening Implementation. IEEE Transactions on Industrial Electronics, no. 8, vol. 63, pp. 5156-5166, 2016.
  • Lucia, Sergio – Koegel, Markus – Zometa, Pablo – Quevedo, Daniel E. – Findeisen, Rolf: Predictive control, embedded cyberphysical systems and systems of systems - A perspective. Annual Reviews in Control, vol. 41, pp. 193-207, 2016.
  • Hamri, Hakima – Kara, Redouane – Amari, Said: Multiparametric Predictive Control for a Class of Discrete Event Systems. In 2016 13th International Workshop on Discrete Event Systems (wodes), pp. 418-423, 2016.
  • Clemen, Layne – Anubi, Olugbenga Moses – Margolis, Donald: On the Regenerative Capabilities of Electrodynamic Dampers Using Bond Graphs and Model Predictive Control. Journal of Dynamic Systems Measurement and Control-transactions of the Asme, no. 5, vol. 138, 2016.
  • Zhang, Ju – Xiu, Xiaojie – Xie, Zuozhang – Hu, Biaobiao: Using a Two-Level Structure to Manage the Point Location Problem in Explicit Model Predictive Control. Asian Journal of Control, no. 3, vol. 18, pp. 1075-1086, 2016.
  • de Almeida, Fabio A.: Robust off-line control allocation. Aerospace Science and Technology, vol. 52, pp. 1-9, 2016.
  • Ni, Leibin – Manoj, Sai P. D. – Song, Yang – Gu, Chenjie – Yu, Hao: A Zonotoped Macromodeling for Eye-Diagram Verification of High-Speed I/O Links With Jitter and Parameter Variations. IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, no. 6, vol. 35, pp. 1040-1051, 2016.
  • Scott, Joseph K. – Raimondo, Davide M. – Marseglia, Giuseppe Roberto – Braatz, Richard D.: Constrained zonotopes: A new tool for set-based estimation and fault detection. Automatica, vol. 69, pp. 126-136, 2016.
  • Necoara, Ion – Kvamme, Sverre: DuQuad: a toolbox for solving convex quadratic programs using dual (augmented) first order algorithms. In 2015 54th IEEE Conference on Decision and Control (CDC), pp. 2043-2048, 2015.
  • Askari, Masood – Moghavvemi, Mahmoud – Almurib, Haider A. F. – Muttaqi, K. M.: Multivariable Offset-Free Model Predictive Control for Quadruple Tanks System. IEEE Transactions on Industry Applications, no. 2, vol. 52, pp. 1882-1890, 2016.
  • Bey, Wissal – Kardous, Zohra – Braiek, Naceur Benhadj: Stabilisation of constrained uncertain systems by multi-parametric optimisation. International Journal of Automation and Control, no. 4, vol. 10, pp. 407-416, 2016.
  • Zhang, Lixian – Zhuang, Songlin – Braatz, Richard D.: Switched model predictive control of switched linear systems: Feasibility, stability and robustness. Automatica, vol. 67, pp. 8-21, 2016.
  • Huang, Mike – Zaseck, Kevin – Butts, Ken – Kolmanovsky, Ilya: Rate-Based Model Predictive Controller for Diesel Engine Air Path: Design and Experimental Evaluation. IEEE Transactions on Control Systems Technology, no. 6, vol. 24, pp. 1922-1935, 2016.
  • Huang, Mike – Butts, Ken – Kolmanovsky, Ilya: A LOW COMPLEXITY GAIN SCHEDULING STRATEGY FOR EXPLICIT MODEL PREDICTIVE CONTROL OF A DIESEL AIR PATH. In Proceedings of the Asme 8th Annual Dynamic Systems and Control Conference, 2015, Vol 1, 2016.
  • Stoical, F. – IvǍnuşca, V.-M. – Prodan, I. – Popescu, D.: Obstacle avoidance via B-spline parametrizations of flat trajectories. In 24th Mediterranean Conference on Control and Automation, MED 2016, pp. 1002-1007, 2016.
  • Maciejowski, Jan M.: Robust Tracking with Soft Constraints. In Lasso-mpc-predictive Control with L1-regularised Least Squares, pp. 145-172, 2016.
  • Maciejowski, Jan M.: Design of LASSO MPC for Prioritised and Auxiliary Actuators. In Lasso-mpc-predictive Control with L1-regularised Least Squares, pp. 111-144, 2016.
  • Maciejowski, Jan M.: Version 1: l(1)-Input Regularised Quadratic MPC. In Lasso-mpc-predictive Control with L1-regularised Least Squares, pp. 65-83, 2016.
  • Gao, Yu – Sun, Li Ning: Explicit solution of min-max model predictive control for uncertain systems. Iet Control Theory and Applications, no. 4, vol. 10, pp. 461-468, 2016.
  • Garone, Emanuele – Nicotra, Marco M.: Explicit Reference Governor for Constrained Nonlinear Systems. IEEE Transactions on Automatic Control, no. 5, vol. 61, pp. 1379-1384, 2016.
  • Seok, J. – Kolmanovsky, I. – Girard, A.: Integrated/coordinated control of aircraft gas turbine engine and electrical power system: Towards large electrical load handling. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 3183-3189, 2016.
  • Papachristos, C. – Alexis, K. – Tzes, A.: Dual–authority thrust–vectoring of a tri–tiltrotor employing model predictive control. Journal of Intelligent and Robotic Systems, vol. 81, pp. 417-504, 2016.
  • Jost, M.: Accelerating the calculation of model predictive control laws for constrained linear systems. 2016.
  • Sheer, S. – Gutman, P. O.: A novel approach to the computation of polyhedral invariant sets for constrained systems. In Computer Aided Control System Design (CACSD), 2016 IEEE Conference on, pp. 1428-1433, 2016.
  • Glos, J.: Model Predictive Control for Individual Room Control. In IFAC-PapersOnLine, 49(25), pp. 37-42, 2016.
  • Joševski, M. – Abel, D.: Tube-based MPC for the energy management of hybrid electric vehicles with non-parametric driving profile prediction. In American Control Conference, pp. 623-630, 2016.
  • Huang, M.: Low Complexity Model Predictive Control of a Diesel Engine Airpath. 2016.
  • Dreossi, T.: Reachability Computation and Parameter Synthesis for Polynomial Dynamical Systems. 2016.
  • Mejías, M. A. H.: Control Predictivo Basado en Escenarios para Sistemas Lineales con Saltos Markovianos. 2016.
  • Araujo Xavier, M.: Efficient Strategies for Predictive Cell-Level Control of Lithium-Ion Batteries. 2016.
  • Vinod, Abraham P. – Tang, Yuqing – Oishi, Meeko M. K. – Sycara, Katia – Lebiere, Christian – Lewis, Michael: Validation of Cognitive Models for Collaborative Hybrid Systems with Discrete Human Input. In 2016 IEEE/rsj International Conference on Intelligent Robots and Systems (iros 2016), pp. 3339-3346, 2016.
  • Yoon, Sanghyun – Yoo, Junbeom: Formal verification of ECML hybrid models with spaceex. Information and Software Technology, vol. 92, pp. 121-144, 2017.
  • Belta, C – Yordanov, B – Gol, EA: Formal Methods for Discrete-Time Dynamical Systems. In Formal Methods for Discrete-time Dynamical Systems, pp. 1-284, 2017.
  • Dreossi, Tommaso – Dang, Thao – Piazza, Carla: Reachability computation for polynomial dynamical systems. Formal Methods in System Design, no. 1, vol. 50, pp. 1-38, 2017.
  • Zhang, L. – Ning, Z. – Zheng, W.X.: Observer-Based Control for Piecewise-Affine Systems with Both Input and Output Quantization. IEEE Transactions on Automatic Control, no. 11, vol. 62, pp. 5858-5865, 2017.
  • Yaghoubi, S. – Fainekos, G.: Hybrid approximate gradient and stochastic descent for falsification of nonlinear systems. In Proceedings of the American Control Conference, pp. 529-534, 2017.
  • Trnka, Pavel – Havlena, Vladimir – Pekar, Jaroslav: Distributed MPC with Parametric Coordination. In 2016 American Control Conference (ACC), pp. 6253-6258, 2016.
  • Formentini, A. – Oliveri, A. – Marchesoni, M. – Storace, M.: A Switched Predictive Controller for an Electrical Powertrain System with Backlash. IEEE Transactions on Power Electronics, no. 5, vol. 32, pp. 4036-4047, 2017.
  • Toffanin, C. – Messori, M. – Cobelli, C. – Magni, L.: Automatic adaptation of basal therapy for Type 1 diabetic patients: A Run-to-Run approach. Biomedical Signal Processing and Control, vol. 31, pp. 539-549, 2017.
  • Serkies, P.: Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude [Porównanie metod sterowania napędem elektrycznym z połączeniem sprężystym pozwalające na ograniczenie amplitudy moment. Eksploatacja i Niezawodnosc, no. 2, vol. 19, pp. 203-210, 2017.
  • Hu, C. – Zhou, X. – Ren, Y. – Tao, Y.: Output feedback polytopic LPV Tube-RMPC control for air-breathing hypersonic vehicles. International Journal of Modelling, Identification and Control, no. 4, vol. 28, pp. 336-347, 2017.
  • Eren, U. – Prach, A. – Koçer, B.B. – Rakovic, S.V. – Kayacan, E. – Açikmese, B.: Model predictive control in aerospace systems: Current state and opportunities. Journal of Guidance, Control, and Dynamics, no. 7, vol. 40, pp. 1541-1566, 2017.
  • Govindaraju, P.B. – Ihme, M.: Formulation of optimal surrogate descriptions of fuels considering sensitivities to experimental uncertainties. Combustion and Flame, vol. 188, pp. 337-356, 2018.
  • Homchaudhuri, B. – Oishi, M. – Shubert, M. – Baldwin, M. – Erwin, R.S.: Computing reach-avoid sets for space vehicle docking under continuous thrust. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016, pp. 3312-3318, 2016.
  • Geyer, T.: Model Predictive Control of High Power Converters and Industrial Drives, 2016.
  • Eirinakis, Pavlos – Ruggieri, Salvatore – Subramani, K. – Wojciechowski, Piotr: A complexity perspective on entailment of parameterized linear constraints. Constraints, no. 4, vol. 17, pp. 461-487, 2012.
  • Matcovschi, Mihaela-Hanako – Pastravanu, Octavian: Diagonally invariant exponential stability and stabilizability of switching linear systems. Mathematics and Computers in Simulation, no. 8, vol. 82, pp. 1407-1418, 2012.
  • Matcovschi, Mihaela-Hanako – Pastravanu, Octavian: Invariance Properties of Recurrent Neural Networks. In Intelligent Systems and Technologies: Methods and Applications, pp. 105-119, 2009.
  • Taghavipour, Amir – Masoudi, Ramin – Azad, Nasser L – McPhee, John: Control-relevant parameter estimation application to a model-based PHEV power management system. Optimal Control Applications and Methods, 2017.
  • Darup, Moritz Schulze – Redder, Adrian – Shames, Iman – Farokhi, Farhad – Quevedo, Daniel: Towards Encrypted MPC for Linear Constrained Systems. IEEE Control Systems Letters, no. 2, vol. 2, pp. 195--200, 2018.
  • Sadraddini, Sadra – Sivaranjani, S – Gupta, Vijay – Belta, Calin: Provably safe cruise control of vehicular platoons. IEEE Control Systems Letters, no. 2, vol. 1, pp. 262--267, 2017.
  • Pan, Hongguang – Zhong, Weimin – Wang, Zaiying: An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC. Chinese Journal of Chemical Engineering, 2017.
  • Saeed, Junaid – Hasan, Ammar: Control-oriented discrete-time large-signal model of phase-shift full-bridge DC--DC converter. Electrical Engineering, pp. 1--9, 2017.
  • Grancharova, Alexandra – Olaru, Sorin: Low Complexity Distributed Model Predictive Control by Using Contractive Sets. IFAC-PapersOnLine, no. 1, vol. 50, pp. 13164--13169, 2017.
  • Chauhan, R. – Baraskar, S. – Kalraiya, S.: Improves Fast Cooling and Energy Efficiency In Industrial Refrigeration Systems: A Review. World Journal of Technology, Engineering and Research, no. 1, vol. 2, pp. 360--367, 2017.
  • Lv, J. – Gao, Y.: The computation of the viability kernel for switched systems. Advances in Difference Equations, no. 1, vol. 2018, 2018.
  • Lima, P.F. – Collares Pereira, G. – Mårtensson, J. – Wahlberg, B.: Experimental validation of model predictive control stability for autonomous driving. Control Engineering Practice, vol. 81, pp. 244-255, 2018.
  • Rossi, M. – Castelli-Dezza, F. – Mauri, M. – Prandini, M.: Explicit Computation of Indirect Hybrid MPC for Voltage Control in Multilevel DC-DC Converters. In 2018 20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe, 2018.
  • Zhang, J. – Xiu, X.: K-d tree based approach for point location problem in explicit model predictive control. Journal of the Franklin Institute, no. 13, vol. 355, pp. 5431-5451, 2018.
  • Saeed, J. – Hasan, A.: Control-oriented discrete-time large-signal model of phase-shift full-bridge DC--DC converter. Electrical Engineering, no. 3, vol. 100, pp. 1431-1439, 2018.
  • Darup, M.S. – Redder, A. – Quevedo, D.: A fixed-point implementation of explicit MPC laws. In Proceedings of the American Control Conference, pp. 749-755, 2018.
  • Ziogou, C. – Voutetakis, S. – Georgiadis, M.C. – Papadopoulou, S.: Model predictive control (MPC) strategies for PEM fuel cell systems - A comparative experimental demonstration. Chemical Engineering Research and Design, vol. 131, pp. 656-670, 2018.
  • Serkies, P.: A novel predictive fuzzy adaptive controller for a two-mass drive system. Bulletin of the Polish Academy of Sciences: Technical Sciences, no. 1, vol. 66, pp. 37-47, 2018.
  • Lima, P.F. – Martensson, J. – Wahlberg, B.: Stability conditions for linear time-varying model predictive control in autonomous driving. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 2775-2782, 2018.
  • Shubert, M. – Oishi, M. – Baldwin, M. – Erwin, R.S.: Under-Approximating Reach-Avoid Sets for Space Vehicle Maneuvering in the Presence of Debris. IFAC-PapersOnLine, no. 12, vol. 51, pp. 142-147, 2018.
  • Mazo Jr, M. – Sharifi-Kolarijani, A. – Adzkiya, D. – Hop, C.: Abstracted models for scheduling of event-triggered control data traffic. Lecture Notes in Control and Information Sciences, vol. 475, pp. 197-217, 2018.
  • Dantas, Amanda Danielle O. S. – Dantas, Andre F. O. A. – Dorea, Carlos E. T.: Static output feedback control design for constrained linear discrete-time systems using data cluster analysis. Iet Control Theory and Applications, no. 18, vol. 12, pp. 2541-2550, 2018.
  • Araujo, Hugo – Carvalho, Gustavo – Mohaqeqi, Morteza – Mousavi, Mohammad Reza – Sampaio, Augusto: Sound conformance testing for cyber-physical systems: Theory and implementation. Science of Computer Programming, no. SI, vol. 162, pp. 35-54, 2018.
  • Mohammadkhani, M. A. – Bayat, F. – Jalali, A. A.: Constrained linear parameter-varying control using approximate multiparametric programming. Optimal Control Applications & Methods, no. 5, vol. 39, pp. 1670-1683, 2018.
  • Hill, Robin – Luo, Yousong – Schwerdtfeger, Uwe: Exact recursive updating of state uncertainty sets for linear SISO systems. Automatica, vol. 95, pp. 33-43, 2018.
  • Athanasopoulos, Nikolaos – Jungers, Raphael M.: On invariance and reachability on semialgebraic sets for linear dynamics. Ifac Papersonline, no. 16, vol. 51, pp. 43-48, 2018.
  • Dantas, Amanda Danielle O. da S. – Dantas, Andre Felipe O. de A. – Campos, Joao Tiago L. S. – de Almeida Neto, Domingos L. – Dorea, Carlos Eduardo T.: PID Control for Electric Vehicles Subject to Control and Speed Signal Constraints. Journal of Control Science and Engineering, no. 6259049, 2018.
  • Gatavi, Ehsan – Hellany, Ali – Nagrial, Mahmood – Rizk, Jamal: Improved Low Voltage Ride-Through Capability of DFIG-Based Wind Turbine with Breaking Resistor and Converter Control. In Proceedings 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (cpe-powereng 2018), 2018.
  • Paulson, JA – Santos, TLM – Mesbah, A: Mixed stochastic-deterministic tube MPC for offset-free tracking in the presence of plant-model mismatch. Journal of Process Control, 2018.
  • Rossi, Mattia – Piegari, Luigi – Castelli-Dezza, Francesco – Mauri, Marco – Carmeli, Maria Stefania: Voltage Control Comparison for Low-Power DC-DC Converters in EVs: PI and Explicit MPC. In IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society, pp. 5005--5011, 2018.
  • Qin, Xiaolong – An, Nguyen Thai: Smoothing Algorithms for Computing the Projection onto a Minkowski Sum of Convex Sets. arXiv preprint arXiv:1801.08285, 2018.
  • Xiu, Xiaojie – Zhang, Ju: Grid kd tree approach for point location in polyhedral data sets--application to explicit MPC. International Journal of Control, pp. 1--9, 2018.
  • Rathai, Karthik Murali Madhavan – Sename, Olivier – Alamir, Mazen: Reachability based Model Predictive Control for Semi-active Suspension System. 2018.
  • Euler, Juliane: Optimal Cooperative Control of UAVs for Dynamic Data-Driven Monitoring Tasks. 2018.
  • Lima, Pedro F: Optimization-based motion planning and model predictive control for autonomous driving: With experimental evaluation on a heavy-duty construction truck. 2018.
  • AL_Sheakh Ameen, Nael: Programming and Industrial Control, Model-Based Predictive Control of 3-Level Inverters. 2018.
  • Orlowski, Przemyslaw: Optimal PWA Approximation for a Nonlinear Car on the Hill System and Properties of the Hybrid MPC Constrained Time-Optimal Controller. In 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR), pp. 65--70, 2018.
  • Adimoolam, Santosh Arvind: A Calculus of Complex Zonotopes for Invariance and Stability Verification of Hybrid Systems. 2018.
  • Mohammadkhani, MA – Bayat, F – Jalali, AA: Constrained linear parameter-varying control using approximate multiparametric programming. Optimal Control Applications and Methods, no. 5, vol. 39, pp. 1670--1683, 2018.
  • Duggirala, Parasara Sridhar – Bak, Stanley: Aggregation Strategies in Reachable Set Computation of Hybrid Systems. Acm Transactions on Embedded Computing Systems, no. 5, S, SI, vol. 18, 2019.
  • Hu, Chaofang – Wei, Xiaofang – Ren, Yanli: Passive Fault-tolerant Control Based on Weighted LPV Tube-MPC for Air-breathing Hypersonic Vehicles. International Journal of Control Automation and Systems, no. 8, vol. 17, pp. 1957-1970, 2019.
  • Arino, Carlos – Sala, Antonio: Minimal Controllable Set for Takagi-Sugeno Fuzzy Systems with disturbances. Ifac Papersonline, no. 11, vol. 52, pp. 55-60, 2019.
  • Darup, Moritz Schulze – Teichrib, Dieter: Efficient computation of RPI sets for tube-based robust MPC. In 2019 18th European Control Conference (ECC), pp. 325-330, 2019.
  • Rathai, Karthik Murali Madhavan – Sename, Olivier – Alamir, Mazen: Reachability based Model Predictive Control for Semi-active Suspension System. In 2019 Fifth Indian Control Conference (icc), pp. 68-73, 2019.
  • Lima, Pedro F. – Pereira, Goncalo Collares – Martensson, Jonas – Wahlberg, Bo: Experimental validation of model predictive control stability for autonomous driving. Control Engineering Practice, vol. 81, pp. 244-255, 2018.
  • Scaglioni, Bruno – Previtera, Luca – Martin, James – Norton, Joseph – Obstein, Keith L. – Valdastri, Pietro: Explicit Model Predictive Control of a Magnetic Flexible Endoscope. IEEE Robotics and Automation Letters, no. 2, vol. 4, pp. 716-723, 2019.
  • Niu, Ruochen – Shen, Qiang – Yong, Sze Zheng: Partition-Based Parametric Active Model Discrimination with Applications to Driver Intention Estimation. In 2019 18th European Control Conference (ECC), pp. 3880-3885, 2019.
  • Bonzanini, Angelo D. – Santos, Tito L. M. – Mesbah, Ali: Tube-based Stochastic Nonlinear Model Predictive Control: A Comparative Study on Constraint Tightening. Ifac Papersonline, no. 1, vol. 52, pp. 598-603, 2019.
  • Taghavipour, Amir – Vajedi, Mahyar – Azad, Nasser L.: Multi-parametric Predictive Control. In Intelligent Control of Connected Plug-in Hybrid Electric Vehicles, pp. 79-102, 2019.
  • Paulson, J. A. – Santos, T. L. M. – Mesbah, A.: Mixed stochastic-deterministic tube MPC for offset-free tracking in the presence of plant-model mismatch. Journal of Process Control, vol. 83, pp. 102-120, 2019.
  • Tabatabaei, Seyyed Mostafa – Kamali, Sara – Jahed-Motlagh, Mohammad Reza – Yazdi, Mojtaba Barkhordari: Practical Explicit Model Predictive Control for a Class of Noise-embedded Chaotic Hybrid Systems. International Journal of Control Automation and Systems, no. 4, vol. 17, pp. 857-866, 2019.
  • Tran, H.-D. – Musau, P. – Manzanas Lopez, D. – Yang, X. – Nguyen, L.V. – Xiang, W. – Johnson, T.T.: Parallelizable Reachability Analysis Algorithms for Feed-Forward Neural Networks. In Proceedings - 2019 IEEE/ACM 7th International Workshop on Formal Methods in Software Engineering, FormaliSE 2019, pp. 51-60, 2019.
  • Kabbani, T. – Di Gennaro, S.: Automatic Synthesis via Tulip of an Autonomous Vehicle Controller Ensuring Collision Avoidance. In Proceedings of the IEEE Conference on Decision and Control, pp. 6699-6704, 2019.
  • Eilbrecht, J. – Stursberg, O.: Reducing computation times for planning of reference trajectories in cooperative autonomous driving. In IEEE Intelligent Vehicles Symposium, Proceedings, pp. 146-152, 2019.
  • Dang, T.: Reachability Analysis and Hybrid Systems Biology - In Memoriam Oded Maler. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11705 LNBI, pp. 16-29, 2019.
  • Lejarza, F. – Baldea, M.: Economic model predictive control for robust optimal operation of sparse storage networks. Automatica, no. 109346, vol. 125, 2021.
  • Ghosh, R. – Hsieh, C. – Misailovic, S. – Mitra, S.: Koord: A language for programming and verifying distributed robotics application. Proceedings of the ACM on Programming Languages, no. OOPSLA, vol. 4, 2020.
  • Wei, W. – Wu, D. – Wang, Z. – Shafie-khah, M. – Catalão, J.P.S.: A class of multi-parametric quadratic program with an uncertain objective function. Computers and Chemical Engineering, no. 106849, vol. 138, 2020.
  • Xiu, X. – Zhang, J.: Grid k-d tree approach for point location in polyhedral data sets–application to explicit MPC. International Journal of Control, no. 4, vol. 93, pp. 872-880, 2020.
  • Wróbel, K. – Serkies, P. – Szabat, K.: Model predictive base direct speed control of induction motor drive—continuous and finite set approaches. Energies, no. 5, vol. 13, 2020.
  • Vilaivannaporn, W. – Boonsith, S. – Pornputtapitak, W. – Bumroongsri, P.: Robust output feedback predictive controller with adaptive invariant tubes and observer gains. International Journal of Dynamics and Control, 2020.
  • Tran, H.-D. – Yang, X. – Manzanas Lopez, D. – Musau, P. – Nguyen, L.V. – Xiang, W. – Bak, S. – Johnson, T.T.: NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12224 LNCS, pp. 3-17, 2020.
  • Dantas, A.D.O.S. – Dantas, A.F.O.A. – Almeida, T.F.D. – Dórea, C.E.T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, no. 14, vol. 51, pp. 2533-2548, 2020.
  • Kalabić, U.V. – Kolmanovsky, I.V.: A constraint-separation principle in model predictive control. Automatica, no. 109190, vol. 121, 2020.
  • Diaz, J.L.C. – Olaru, S. – Ocampo-Martinez, C.: A comparison of modelling approaches for closed-loop decision making over discrete domains in manufacturing systems. In CCTA 2020 - 4th IEEE Conference on Control Technology and Applications, pp. 611-618, 2020.
  • Avula, R.R. – Oechtering, T.J.: On design of optimal smart meter privacy control strategy against adversarial map detection. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5845-5849, 2020.
  • Zhu, Y. – Zheng, W.X.: Multiple Lyapunov Functions Analysis Approach for Discrete-Time-Switched Piecewise-Affine Systems under Dwell-Time Constraints. IEEE Transactions on Automatic Control, no. 5, vol. 65, pp. 2177-2184, 2020.
  • Yu, J. – Guo, X. – Pei, X. – Chen, Z. – Zhou, W. – Zhu, M. – Wu, C.: Path tracking control based on tube MPC and time delay motion prediction. IET Intelligent Transport Systems, no. 1, vol. 14, pp. 1-12, 2020.
P. Grieder – M. Kvasnica – M. Baotic – M. Morari: Low Complexity Control of Piecewise Affine Systems with Stability Guarantee. In American Control Conference, Boston, MA, USA, pp. 1–6, 2004.
  • Number of citations       22
  • Chen, Fu – Zhao, Guangzhou – Yu, Xiaoming: Stabilizing model predictive control scheme for piecewise affine systems with maximal positively invariant terminal set. Journal of Systems Engineering and Electronics, no. 6, vol. 21, pp. 1090-1094, 2010.
  • Lin, Z. – Wu, M. – Yan, G.: Reachability and stabilization of discrete-time affine systems with disturbances. In Automatica, pp. 2720-2727, 2011.
  • Rétvári, G. – Németh, G.: On optimal multipath rate-adaptive routing. In Proceedings - IEEE Symposium on Computers and Communications, pp. 605-610, 2010.
  • Ameen, N.A.S. – Galal, BS – Kennel, RM – Kanchan, RS: The polynomial approximation of the explicit solution of model-based predictive controller for drive applications. In 2011 Workshop on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), pp. 76--81, 2011.
  • Karer, Gorazd – Skrjanc, Igor: Solving Mixed-Integer Optimization Problems. In Predictive Approaches To Control of Complex Systems, pp. 157-168, 2013.
  • Orlowski, Przemyslaw: Effect of the partitions of approximate secant piece-wise affine model on control quality for non-linear, state-dependent system. Przeglad Elektrotechniczny, no. 10A, vol. 88, pp. 69-73, 2012.
  • Júlvez, J. – Di Cairano, S. – Bemporad, A. – Mahulea, C.: Event-driven model predictive control of timed hybrid Petri nets. International Journal of Robust and Nonlinear Control, no. 12, vol. 24, pp. 1724-1742, 2014.
  • Guo, J. – Yan, G.-F. – Liu, M.-Q.: Review on hybrid systems based on generalized time space model. Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), no. 2, vol. 43, pp. 271-275, 2009.
  • Long, R. – Fu, J. – Zhang, L.: Optimal control of switched system based on neural network optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5227 LNAI, pp. 799-806, 2008.
  • Kosmidis, V. – Panga, A. – Sakizlis, V. – Charles, G. – Kenchington, S. – Bozinis, N. – Pistikopoulos, E.N.: Output feedback parametric controllers for an active valve train actuation system. In Proceedings of the IEEE Conference on Decision and Control, pp. 4520-4525, 2006.
  • Lazar, M. – Heemels, W.P.M.H. – Weiland, S. – Bemporad, A.: Stabilization conditions for model predictive control of constrained PWA systems. In Proceedings of the IEEE Conference on Decision and Control, pp. 4595-4600, 2004.
  • Grzyb, Slawomir – Orlowski, Przemyslaw: Congestion control in computer networks. In 2014 19th International Conference on Methods and Models in Automation and Robotics (mmar), pp. 834-838, 2014.
  • Yang Pu – Wang Yu-hong: Explicit model predictive control of CSTR system based on PWA model. In Control Conference (CCC), 2015 34th Chinese, pp. 2304-2308, 2015.
  • Grzyb, S. – Orlowski, P.: Congestion feedback control for computer networks with bandwidth estimation. In Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on, pp. 1151-1156, 2015.
  • Hu, Zheng – Hameyer, Kay: A Method of Constraint Handling for Speed-Controlled Induction Machines. IEEE Transactions on Industrial Electronics, no. 7, vol. 63, pp. 4061-4072, 2016.
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, vol. 116, pp. 61-82, 2016.
  • Bardakci, I. E. – Lee, J. W. – Lagoa, C.: Robust stabilization of discrete-time piecewise affine systems subject to bounded disturbances. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 7252-7257, 2016.
  • Grzyb, S. – Orlowski, P.: The comparison of network congestion avoidance algorithms in data exchange networks.. In 13th European Workshop on Advanced Control and Diagnosis (acd 2016), 2017.
  • Grzyb, S. – Orłowski, P.: The comparison of network congestion avoidance algorithms in data exchange networks.. Journal of Physics: Conference Series, no. 1, vol. 783, 2017.
  • Burnak, B. – Katz, J. – Diangelakis, N.A. – Pistikopoulos, E.N.: Simultaneous Process Scheduling and Control: A Multiparametric Programming-Based Approach. Industrial and Engineering Chemistry Research, no. 11, vol. 57, pp. 3963-3976, 2018.
  • AL_Sheakh Ameen, Nael: Programming and Industrial Control, Model-Based Predictive Control of 3-Level Inverters. 2018.
  • Orlowski, Przemyslaw: Optimal PWA Approximation for a Nonlinear Car on the Hill System and Properties of the Hybrid MPC Constrained Time-Optimal Controller. In 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR), pp. 65--70, 2018.
R. Suard – J. Löfberg – P. Grieder – M. Kvasnica – M. Morari: Efficient Computation of Controller Partitions in Multi-Parametric Programming. In IEEE Conference on Decision and Control, Bahamas, pp. 3643–3648, 2004.
  • Number of citations       4
  • Keshavarz, M. – Barkhordari Yazdi, M. – Jahed-Motlagh, M.R.: Piecewise affine modeling and control of a boiler-turbine unit. Applied Thermal Engineering, no. 8-9, vol. 30, pp. 781-791, 2010.
  • Rubagotti, M. – Trimboli, S. – Bemporad, A.: Stability and invariance analysis of uncertain discrete-time piecewise affine systems. IEEE Transactions on Automatic Control, no. 9, vol. 58, pp. 2359-2365, 2013.
  • Zhang Ju – Xie Bi-feng – Li Min – Zou Xiang-qi: A new hardware-in-the-loop simulation method and its applications. In Control and Decision Conference (CCDC), 2011 Chinese, On, pp. 3686-3691, 2011.
  • Gondhalekar, R. – Imura, J.-I.: Performance measures in model predictive control with non-linear prediction horizon time-discretization. In 2007 European Control Conference, ECC 2007, pp. 467-474, 2007.
S. Rakovic – P. Grieder – M. Kvasnica – D. Mayne – M. Morari: Computation of Invariant Sets for Piecewise Affine Discrete Time Systems subject to Bounded Disturbances. In IEEE Conference on Decision and Control, Bahamas, pp. 1418–1423, 2004.
  • Number of citations       86
  • Lin, Z. – Wu, M. – Yan, G.: Reachability and stabilization of discrete-time affine systems with disturbances. In Automatica, pp. 2720-2727, 2011.
  • Kanatnikov, A.N.: Localization of invariant compact sets in uncertain discrete systems. Differential Equations, no. 7, vol. 47, pp. 997-1003, 2011.
  • Kanatnikov, A.N. – Korovin, S.K. – Krishchenko, A.P.: Localization of compact invariant sets of discrete-time systems with disturbances. Doklady Mathematics, no. 3, vol. 83, pp. 433-435, 2011.
  • Pérez, E. – Ariño, C. – Blasco, F.X. – Martínez, M.A.: Maximal closed loop admissible set for linear systems with non-convex polyhedral constraints. Journal of Process Control, no. 4, vol. 21, pp. 529-537, 2011.
  • Kita, K. – Kogiso, K.: Game-theoretic consideration on efficient approximation of maximal output admissible sets by multiple ellipsoids. In SICE Annual Conference (SICE), 2011 Proceedings of, pp. 1727--1733, 2011.
  • Li, J. – Lu, Y. – Ji, Z. – Pei, H.: Constrained Optimal Controller Design of Aerial Robotics Based on Invariant Sets. Journal of Software, no. 2, vol. 6, pp. 193-200, 2011.
  • Rubagotti, M. – Trimboli, S. – Bernardini, D. – Bemporad, A.: Stability and invariance analysis of approximate explicit MPC based on PWA Lyapunov functions. In Proceedings of the 18th IFAC World Congress, Milan, Italy, 2011.
  • Althoff, M. – Krogh, BH: Zonotope Bundles for the Efficient Computation of Reachable Sets. In Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011, pp. 6814--6821, 2011.
  • Krishchenko, A. – Kanatnikov, A.: Maximal compact positively invariant sets of discrete-time nonlinear systems. In Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 12521--12525, 2011.
  • Chen, Fu – Zhao, Guangzhou – Yu, Xiaoming: Stabilizing model predictive control scheme for piecewise affine systems with maximal positively invariant terminal set. Journal of Systems Engineering and Electronics, no. 6, vol. 21, pp. 1090-1094, 2010.
  • Chen, Fu – Qi, Dong-Lian: Robust Low Complexity Predictive Control of Constrained Piecewise Affine Systems with Bounded Disturbances. International Journal of Control Automation and Systems, no. 2, vol. 8, pp. 439-444, 2010.
  • Vasak, Mario – Peric, Nedjeljko: Robust invariant set-based protection of multi-mass electrical drives. Compel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering, no. 1, vol. 29, pp. 205-220, 2010.
  • Althoff,M. – Krogh,B. H.: Avoiding geometric intersection operations in reachability analysis of hybrid systems. In HSCC - Proceedings of the 15th ACM International Conference on Hybrid Systems: Computation and Control, pp. 45-54, 2012.
  • Balandat,M. – Zhang,W. – Abate, A.: On infinite horizon switched LQR problems with state and control constraints. Systems and Control Letters, no. 4, vol. 61, pp. 464-471, 2012.
  • Li, J. – Li, D. – Xi, Y. – Lu, J.: Mixed H2/H∞ model predictive control for systems with energy-bounded disturbance. In Chinese Control Conference, CCC, pp. 4052-4056, 2013.
  • Rubagotti, M. – Trimboli, S. – Bemporad, A.: Stability and invariance analysis of uncertain discrete-time piecewise affine systems. IEEE Transactions on Automatic Control, no. 9, vol. 58, pp. 2359-2365, 2013.
  • Mirzazad-Barijough, S. – Lee, J.: Robust stability and performance analysis of discrete-time piecewise affine systems with disturbances. In Proceedings of the IEEE Conference on Decision and Control, pp. 4229-4234, 2012.
  • Rungger, M. – Mazo Jr. – M. – Tabuada, P.: Specification-guided controller synthesis for linear systems and safe linear-time temporal logic. In HSCC 2013 - Proceedings of the 16th International Conference on Hybrid Systems: Computation and Control, Part of CPSWeek 2013, pp. 333-342, 2012.
  • Hermans, R. – Lazar, M. – Kolmanovsky, I. – Di Cairano, S.: Horizon-1 Predictive Control of Automotive Electromagnetic Actuators. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, no. 5, vol. 21, pp. 1652-1665, 2013.
  • Thomas, J.: Robust Model Predictive Controller for Uncertain Piecewise Affine Systems. Arabian Journal for Science and Engineering, no. 10, vol. 39, pp. 7421-7432, 2014.
  • Zhao, Z. – He, W. – Ge, S.S.: Adaptive neural network control of a fully actuated marine surface vessel with multiple output constraints. IEEE Transactions on Control Systems Technology, no. 4, vol. 22, pp. 1536-1543, 2014.
  • Althoff, M.: Formal and compositional analysis of power systems using reachable sets. IEEE Transactions on Power Systems, no. 5, vol. 29, pp. 2270-2280, 2014.
  • Kogiso, K. – Doi, Y. – Hirata, K. – Hirade, N.: Parametric approximation of maximal output admissible sets and its application to multi-mode switching control under unknown constant reference. In IEEE International Symposium on Intelligent Control - Proceedings, pp. 2105-2111, 2010.
  • Fan, G.-W. – Liu, Z.-Y. – Chen, H.: Feedback control of discrete linear switching systems with bounded state and control input in the presence of disturbances. Zidonghua Xuebao/Acta Automatica Sinica, no. 8, vol. 36, pp. 1115-1121, 2010.
  • Li, J.-Q. – Yin, J.-F. – Lu, H.-B. – Pei, H.-L.: Research and design on optimal controller of aerial robotics. In 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009, pp. 469-474, 2009.
  • Dou, L.-H. – Dong, L.-X. – Zhang, J. – Feng, H.-P.: Constrained time-optimal predictive control for a class of systems with backlash. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, no. 6, vol. 38, pp. 962-966, 2009.
  • Chen, F. – Zhao, G.-Z.: Robust predictive control of constrained piecewise affine systems based on a contractive sequence of sets. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, no. 5, vol. 31, pp. 1176-1179, 2009.
  • Chen, F. – Zhao, G.-Z.: Robust dual-model predictive control for a class of piecewise affine systems. Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), no. 3, vol. 43, pp. 455-458 510, 2009.
  • Bernardini, D. – Bemporad, A.: Energy-aware robust Model Predictive Control based on Wireless Sensor feedback. In Proceedings of the IEEE Conference on Decision and Control, pp. 3342-3347, 2008.
  • Sui, D. – Ong, C.J.: Constrained piecewise linear systems with disturbances: Controller design via convex invariant sets. International Journal of Robust and Nonlinear Control, no. 13, vol. 18, pp. 1327-1347, 2008.
  • Heemels, W.P.M.H. – Sandee, J.H. – Van Den Bosch, P.P.J.: Analysis of event-driven controllers for linear systems. International Journal of Control, no. 4, vol. 81, pp. 571-590, 2008.
  • Fiacchini, M. – Alamo, T. – Camacho, E.F.: Piecewise affine model of a fuel cell for safety verification. In Proceedings of the American Control Conference, pp. 4160-4165, 2007.
  • Fiacchini, M. – Alamo, T. – Albea, C. – Camacho, E.F.: Adaptive model predictive control of the hybrid dynamics of a fuel cell system. In Proceedings of the IEEE International Conference on Control Applications, pp. 1420-1425, 2007.
  • Alamo, T. – Fiacchini, M. – Cepeda, A. – Limon, D. – Bravo, J.M. – Camacho, E.F.: On the computation of robust control invariant sets for piecewise affine systems. Lecture Notes in Control and Information Sciences, no. 1, vol. 358, pp. 131-139, 2007.
  • Vašak, M. – Baotić, M. – Petrović, I. – Perić, N.: Hybrid theory-based time-optimal control of an electronic throttle. IEEE Transactions on Industrial Electronics, no. 3, vol. 54, pp. 1483-1494, 2007.
  • Alessio, A. – Bemporad, A. – Lazar, M. – Heemels, W.P.M.H.: Convex polyhedral invariant sets for closed-loop linear MPC systems. In Proceedings of the IEEE Conference on Decision and Control, pp. 4532-4537, 2006.
  • Lazar, M. – Alessio, A. – Bemporad, A. – Heemels, W.P.M.H.: Squaring the circle: An algorithm for generating polyhedral invariant sets from ellipsoidal ones. In Proceedings of the American Control Conference, pp. 3007-3012, 2006.
  • Dan, S. – Jin, O.C.: Outer approximation of the minimal disturbance invariant set of PWL systems with bounded disturbances. In 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06, 2006.
  • Lazar, M. – Heemels, W.P.M.H.: A new dual-mode hybrid MPC algorithm with a robust stability guarantee. In IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 321-328, 2006.
  • Heemels, W.P.M.H. – Sandee, J.H.: Practical stability of perturbed event-driven controlled linear systems. In Proceedings of the American Control Conference, pp. 4379-4386, 2006.
  • Lazar, M. – Heemels, W.P.M.H. – Weiland, S. – Bemporad, A.: Stabilizing model predictive control of hybrid systems. IEEE Transactions on Automatic Control, no. 11, vol. 51, pp. 1813-1818, 2006.
  • Vašak, M. – Baotić, M. – Petrović, I. – Perić, N.: Hybrid theory based time-optimal control of an electronic throttle. In IEEE International Symposium on Industrial Electronics, pp. 253-258, 2005.
  • Lazar, M. – Heemels, W.P.M.H. – Weiland, S. – Bemporad, A.: On the stability of quadratic forms based model predictive control of constrained PWA systems. In Proceedings of the American Control Conference, pp. 575-580, 2005.
  • Weiwei, Q. – Bing, H. – Beixuan, L. – Renping, Y. – Gang, L.: An improved dual-mode robust nonlinear MPC with one-step set optimization. In Chinese Control Conference, CCC, pp. 4004-4009, 2015.
  • Vasak, M. – Baotic, M. – Peric, N.: Efficient computation of the one-step robust sets for piecewise affine systems with polytopic additive uncertainties. In 2007 European Control Conference, ECC 2007, pp. 1430-1435, 2007.
  • Zhang, Y. – Yin, Y. – Liu, F.: Constrained model predictive control for Markov jump system with disturbances. In Chinese Control Conference, CCC, pp. 1816-1821, 2015.
  • Bernardini, D. – Bemporad, A.: Energy-aware robust Model Predictive Control with feedback from multiple noisy wireless sensors. In 2009 European Control Conference, ECC 2009, pp. 4308-4313, 2009.
  • Lunze, J.: Control theory of digitally networked dynamic systems, 2014.
  • Ghasemi, Mohammad Sajjad – Afzalian, Ali A. – Ramezani, M. H.: Stabilized Hybrid Model Predictive control for the Quadruple-tank Process. In 2015 23rd Iranian Conference on Electrical Engineering (icee), pp. 829-833, 2015.
  • Huang, Mike – Zaseck, Kevin – Butts, Ken – Kolmanovsky, Ilya: Rate-Based Model Predictive Controller for Diesel Engine Air Path: Design and Experimental Evaluation. IEEE Transactions on Control Systems Technology, no. 6, vol. 24, pp. 1922-1935, 2016.
  • Sadraddini, S. – Belta, C.: A provably correct MPC approach to safety control of urban traffic networks. In Proceedings of the American Control Conference, pp. 1679-1684, 2016.
  • Nguyen, N.A. – Olaru, S. – Rodriguez-Ayerbe, P.: Robust control design based on convex liftings. IFAC-PapersOnLine, no. 14, vol. 28, pp. 308-313, 2015.
  • Koehler, S. – Mehr, N. – Horowitz, R. – Borrelli, F.: Stable hybrid Model Predictive Control for ramp metering. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on, pp. 1083-1088, 2016.
  • Hill, R. – Luo, Y. – Schwerdtfeger, U.: Exact recursive updating of uncertainty sets. arXiv preprint arXiv:1612.04918, 2016.
  • Hernández‐Mejías, M. A. – Sala, A.: Reliability and time‐to‐failure bounds for discrete‐time constrained Markov jump linear systems. International Journal of Robust and Nonlinear Control, 2016.
  • Sadraddini, S. – Belta, C.: Safety Control of Monotone Systems with Bounded Uncertainties. arXiv preprint arXiv:1603.07419, 2016.
  • Bardakci, I. E. – Lee, J. W. – Lagoa, C.: Robust stabilization of discrete-time piecewise affine systems subject to bounded disturbances. In Decision and Control (CDC), 2016 IEEE 55th Conference on, pp. 7252-7257, 2016.
  • Jerčić, T. – Ileš, S. – Žarko, D. – Matuško, J.: Current reference governor of permanent magnet synchronous machine. In Electrical Machines (ICEM), 2016 XXII International Conference on, pp. 1022-1028, 2016.
  • Huang, M.: Low Complexity Model Predictive Control of a Diesel Engine Airpath. 2016.
  • Mejías, M. A. H.: Control Predictivo Basado en Escenarios para Sistemas Lineales con Saltos Markovianos. 2016.
  • Tajvar, Pouria: Verification of nonlinear systems through hybridization and invariant set computation. 2017.
  • Sala, Antonio: Generalising quasi-LPV and CDI models to Quasi-Convex Difference Inclusions. IFAC-PapersOnLine, no. 1, vol. 50, pp. 7560--7565, 2017.
  • Sadraddini, Sadra – Belta, Calin: Formal Synthesis of Control Strategies for Positive Monotone Systems. arXiv preprint arXiv:1702.08501, 2000.
  • Hill, Robin – Luo, Yousong: Exact recursive updating of uncertainty sets for discrete-time plants with a lag. arXiv preprint arXiv:1703.07946, 2000.
  • Hernández-Mejías, M.A. – Sala, A.: Reliability and time-to-failure bounds for discrete-time constrained Markov jump linear systems. International Journal of Robust and Nonlinear Control, no. 10, vol. 27, pp. 1773-1791, 2017.
  • Arroyave-Tobón, S. – Teissandier, D. – Delos, V.: Applying screw theory for summing sets of constraints in geometric tolerancing. Mechanism and Machine Theory, vol. 112, pp. 255-271, 2017.
  • Adjé, A.: Coupling policy iterations with piecewise quadratic Lyapunov functions. In HSCC 2017 - Proceedings of the 20th International Conference on Hybrid Systems: Computation and Control (part of CPS Week), pp. 143-152, 2017.
  • Adimoolam, A. – Dang, T.: Augmented complex zonotopes for computing invariants of affine hybrid systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10419 LNCS, pp. 97-115, 2017.
  • Sadraddini, S. – Belta, C.: Formal guarantees in data-driven model identification and control synthesis. In HSCC 2018 - Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), pp. 147-156, 2018.
  • Athanasopoulos, Nikolaos – Jungers, Raphael M.: On invariance and reachability on semialgebraic sets for linear dynamics. Ifac Papersonline, no. 16, vol. 51, pp. 43-48, 2018.
  • Adimoolam, Santosh Arvind: A Calculus of Complex Zonotopes for Invariance and Stability Verification of Hybrid Systems. 2018.
  • Sadraddini, Sadra: Formal methods for resilient control. 2018.
  • Xue, Bai – Zhan, Naijun: Robust Invariant Sets Computation for Switched Discrete-Time Polynomial Systems. arXiv preprint arXiv:1811.11454, 2018.
  • Sadraddini, Sadra – Belta, Calin: Formal synthesis of control strategies for positive monotone systems. IEEE Transactions on Automatic Control, 2018.
  • Chai, Jun – Sanfelice, Ricardo G: Forward Invariance of Sets for Hybrid Dynamical Systems (Part I). IEEE Transactions on Automatic Control, 2018.
  • Sadraddini, Sadra – Belta, Calin: Formal Guarantees in Data-Driven Model Identification and Control Synthesis. In Hscc 2018: Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of Cps Week), pp. 147-156, 2018.
  • Chai, Jun – Sanfelice, Ricardo G.: Forward Invariance of Sets for Hybrid Dynamical Systems (Part I). IEEE Transactions on Automatic Control, no. 6, vol. 64, pp. 2426-2441, 2019.
  • Sala, Antonio – Arino, Carlos – Robles, Ruben: Gain-Scheduled Control via Convex Nonlinear Parameter Varying Models. Ifac Papersonline, no. 28, vol. 52, pp. 70-75, 2019.
  • Sadraddini, Sadra – Belta, Calin: Formal Synthesis of Control Strategies for Positive Monotone Systems. IEEE Transactions on Automatic Control, no. 2, vol. 64, pp. 480-495, 2019.
  • Jedda, Olfa – Douik, Ali: Optimal Discrete-time Integral Sliding Mode Control for Piecewise Affine Systems. International Journal of Control Automation and Systems, no. 5, vol. 17, pp. 1221-1232, 2019.
  • Jedda, O. – Douik, A.: Optimal Discrete-time Integral Sliding Mode Control for Piecewise Affine Systems. International Journal of Control, Automation and Systems, no. 5, vol. 17, pp. 1221-1232, 2019.
  • Maddalena, E.T. – Galvão, R.K.H. – Afonso, R.J.M.: Robust region elimination for piecewise affine control laws. Automatica, vol. 99, pp. 333-337, 2019.
  • Chai, J. – Sanfelice, R.G.: Forward Invariance of Sets for Hybrid Dynamical Systems (Part II). IEEE Transactions on Automatic Control, no. 1, vol. 66, pp. 89-104, 2021.
  • Danielson, C. – Di Cairano, S.: A Reference Governor for Wheel-Slip Prevention in Railway Vehicles with Pneumatic Brakes. In Proceedings of the American Control Conference, pp. 1011-1016, 2020.
  • Schürmann, B. – Vignali, R. – Prandini, M. – Althoff, M.: Set-based control for disturbed piecewise affine systems with state and actuation constraints. Nonlinear Analysis: Hybrid Systems, no. 100826, vol. 36, 2020.
  • Anevlavis, T. – Tabuada, P.: A simple hierarchy for computing controlled invariant sets. In HSCC 2020 - Proceedings of the 23rd International Conference on Hybrid Systems: Computation and Control ,part of CPS-IoT Week, 2020.
Facebook / Youtube

Facebook / Youtube

RSS