Position:
Head of department
Researcher
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 663
eMail:
Home page:
https://www.uiam.sk/~klauco
Phone:
+421 259 325 345
Skype:
m.klauco
ORCID iD:
0000-0003-0098-2625
WoS ResearcherID:
G-3973-2015
Google Scholar:
wVXDzr8AAAAJ
Availability:

Citations

  • Total citations       173
K. KišM. Klaučo: Neural network based explicit MPC for chemical reactor control. Acta Chimica Slovaca, no. 2, vol. 12, pp. 218–223, 2019.
  • Number of citations       1
  • Shin, Yeonju – Smith, Robin – Hwang, Sungwon: Development of model predictive control system using an artificial neural network: A case study with a distillation column. Journal of Cleaner Production, no. 124124, vol. 277, 2020.
M. KalúzM. KlaučoĽ. ČirkaM. Fikar: Flexy2: A Portable Laboratory Device for Control Engineering Education. In 12th IFAC Symposium Advances in Control Education, pp. 159–164, 2019.
  • Number of citations       3
  • Marin, Loreto – Vargas, Hector – Heradio, Ruben – de la Torre, Luis – Diaz, Jose Manuel – Dormido, Sebastian: Evidence-Based Control Engineering Education: Evaluating the LCSD Simulation Tool. IEEE Access, vol. 8, pp. 170183-170194, 2020.
  • Opris, Ioana – Gogoase Nistoran, Daniela E. – Costinas, Sorina – Ionescu, Cristina S.: Rethinking power engineering education for Generation Z. Computer Applications in Engineering Education, no. PC0GC, 2020.
  • J. L. Villa – S. Sanchez: Implementing a Software-based Controller as a Strategy for Teaching Digital Control. In 2020 IX International Congress of Mechatronics Engineering and Automation (CIIMA), pp. 1-6, 2020.
Y. Lohr – M. KlaučoM. Kalúz – M. Mönnigmann: Mimicking Predictive Control with Neural Networks in Domestic Heating Systems. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 19–24, 2019.
  • Number of citations       1
  • M. Furka – K. Kiš – M. Horváthová – M. Mojto – M. Bakošová: Identification and Control of a Cascade of Biochemical Reactors. In 2020 Cybernetics Informatics (K I), pp. 1-6, 2020.
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.
P. BakaráčM. KlaučoM. Fikar: Comparison of Inverted Pendulum Stabilization with PID, LQ, and MPC Control. Editor(s): J. Cigánek, Š. Kozák, A. Kozáková, In 2018 Cybernetics & Informatics (K&I), Slovak Chemical Library, Bratislava, Lazy pod Makytou, Slovakia, vol. 29, 2018.
  • Number of citations       3
  • A. Barkat – A. Hanif – M. T. Hamayun: Model Identification and Control of a Lab Based Inverted Pendulum System Using Robust Control Technique. In 2018 International Conference on Frontiers of Information Technology (FIT), pp. 1-6, 2018.
  • Manai, N.E. – Saidi, I. – Soudani, D.: Predictive control of an under-actuated System. In Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019, pp. 90-95, 2019.
  • Jayaprakash, A.K. – Kidambi, K.B. – Mackunis, W. – Drakunov, S.V. – Reyhanoglu, M.: Finite-time state estimation for an inverted pendulum under input-multiplicative uncertainty. Robotics, no. 4, vol. 9, pp. 1-26, 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       13
  • 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.
  • 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, 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.
M. KlaučoR. Valo – J. Drgoňa: Reflux control of a laboratory distillation column via MPC-based reference governor. Acta Chimica Slovaca, no. 2, vol. 10, pp. 139–143, 2017.
  • Number of citations       1
  • Bakarac, Peter – Kvasnica, Michal: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical Papers, no. 3, vol. 73, pp. 611-618, 2019.
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.
M. Klaučo: MPC-based Reference Governors: Theory and Applications. ÚIAM FCHPT STU v Bratislave, Radlinského 9, 812 37 Bratislava, 2017.
  • Number of citations       1
  • Siddiqui, I. – Ingole, D. – Sonawane, D. – Agashe, S.: Offset-free nonlinear model predictive control of a drum-boiler pilot plant. In IFAC-PapersOnLine, pp. 506-511, 2020.
J. Holaza – R. ValoM. Klaučo: A Novel Approach of Control Design of the pH in the Neutralization Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 191–196, 2017.
  • Number of citations       1
  • Rose, T.P. – Devadhas, G.G.: Detection of pH neutralization technique in multiple tanks using ANFIS controller. Microprocessors and Microsystems, no. 102845, vol. 72, 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.
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.
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