Ústav informatizácie, automatizácie a matematiky

Ing. Martin Kalúz, PhD.

Pracovné zaradenie:
Pedagogický pracovník
Technicko-hospodársky pracovník
Oddelenie:
Oddelenie informatizácie a riadenia procesov (OIaRP)
Miestnosť:
NB 666
eMail:
Webová stránka:
https://www.uiam.sk/~kaluz
Telefón:
+421 259 325 355
ORCID iD:
0000-0001-6654-6354
WoS ResearcherID:
AAZ-3590-2020
Google Scholar:
L3WRrsUAAAAJ
Vedecká činnosť:
Informačné technológie
Dostupnosť:

Citácie

  • Celkový počet citácií       383
M. Furka – M. Kalúz – M. Fikar – M. Klaučo: Guidelines for Secure Process Control: Harnessing the Power of Homomorphic Encryption and State Feedback Control. IEEE ACCESS, zv. 12, 2023.   Zenodo
  • Počet citácií       1
  • Kim, D. – Lee, Y. – Cheon, S. – Choi, H. – Lee, J. – Youm, H. – Lee, D. – Kim, H.: Privacy Set: Privacy-Authority-Aware Compiler for Homomorphic Encryption on Edge-Cloud System. IEEE Internet of Things Journal, č. 21, zv. 11, str. 35167-35184, 2024.
M. Kalúz – Ľ. Čirka – M. Fikar: ELab: A Lightweight SCADA System for Control Engineering Research and Education. Editor(i): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, V Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, zv. 21, str. 17469–17474, 2020.
  • Počet citácií       5
  • Lei, X.: Network education integrated system based on intelligent algorithm. V Proceedings of SPIE - The International Society for Optical Engineering, 2023.
  • Hou, Q.: Design of a Visual Training System for Software Engineering Education Based on Knowledge Graphs. International Journal of Emerging Technologies in Learning, č. 24, zv. 17, str. 114-130, 2022.
  • Mirdanies, M. – Yazid, E. – Ardiansyah, R.A. – Sulaeman, Y.: The Development of Human Machine Interface (HMI) Based Graphical User Interface (GUI) for Telecontrol System of a Ship Mounted Two-DoF Manipulator. V Proceeding - 2022 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications: Emerging Science and Industrial Innovation in Electronics and Telecommunication, ICRAMET 2022, str. 212-218, 2022.
  • Moustafa, Ahmed M. – Abdelghany, Muhammad Bakr – Younis, Al-Shaimaa A. – Moness, Mohammed – Al-Durra, Ahmed – Guerrero, Josep M.: Software-defined control of an emulated hydrogen energy storage for energy internet ecosystems. International Journal of Hydrogen Energy, zv. 50, str. 893-909, 2024.
  • Leva, Alberto: An MSc-level course on ICT for Control Systems Engineering. Ifac Papersonline, č. 2, zv. 56, str. 4681-4686, 2023.
M. Kalúz – M. Klaučo – Ľ. Čirka – M. Fikar: Flexy2: A Portable Laboratory Device for Control Engineering Education. V 12th IFAC Symposium Advances in Control Education, str. 159–164, 2019.
  • Počet citácií       11
  • 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, zv. 8, str. 170183-170194, 2020.
  • J. L. Villa – S. Sanchez: Implementing a Software-based Controller as a Strategy for Teaching Digital Control. V 2020 IX International Congress of Mechatronics Engineering and Automation (CIIMA), str. 1-6, 2020.
  • Opris, Ioana – Gogoase Nistoran, Daniela E. – Costinas, Sorina – Ionescu, Cristina S.: Rethinking power engineering education for Generation Z. Computer Applications in Engineering Education, č. 1, SI, zv. 29, str. 287-305, 2021.
  • Dusek, F. – Honc, D. – Mrazek, M.: RCDue - Laboratory System for Teaching Automation and Control - Concept of the system. V Proceedings of the 2021 23rd International Conference on Process Control, PC 2021, str. 249-254, 2021.
  • Sotelo, David – Sotelo, Carlos – Ramirez-Mendoza, Ricardo A. – Lopez-Guajardo, Enrique A. – Navarro-Duran, David – Nino-Juarez, Elvira – Vargas-Martinez, Adriana: Lab-Tec@Home: A Cost-Effective Kit for Online Control Engineering Education. Electronics, č. 6, zv. 11, 2022.
  • Oliveira, P. B. de Moura – Soares, Filomena – Cardoso, Alberto: Pocket-Sized Portable Labs: Control Engineering Practice Made Easy in Covid-19 Pandemic Times. Ifac Papersonline, č. 17, zv. 55, str. 150-155, 2022.
  • Pajpach, Martin – Haffner, Oto – Kucera, Erik – Drahos, Peter: Low-Cost Education Kit for Teaching Basic Skills for Industry 4.0 Using Deep-Learning in Quality Control Tasks. Electronics, č. 2, zv. 11, 2022.
  • Cardoso, Alberto – Oliveira, Paulo Moura – Sa, Joao: Pocket Labs as a STEM Learning Tool and for Engineering Motivation. V Learning in the Age of Digital and Green Transition, Icl2022, Vol 1, str. 413-422, 2023.
  • Holaza, Juraj – Galcikova, Lenka – Oravec, Juraj – Kvasnica, Michal: A software package for MPC design and tuning: MPT. V 2023 62nd IEEE Conference on Decision and Control, CDC, str. 5688-5695, 2023.
  • Hutamarn, Santi: An Inquiry-based Learning Approach in Engineering Education regarding Simulation Practice on Automation Control. V 31st International Conference on Computers in Education, Icce 2023, Vol Ii, str. 462-468, 2023.
  • Tran, Kevin – Walker, Britt – Utschig, Tris – Tekes, Ayse: USING LOW-COST HANDS-ON EQUIPMENT AND VIRTUAL LAB FOR TEACHING AND LEARNING OF MECHANICAL VIBRATIONS. V Proceedings of Asme 2023 International Mechanical Engineering Congress and Exposition, Imece2023, Vol 8, 2023.
Y. Lohr – M. Klaučo – M. Kalúz – M. Mönnigmann: Mimicking Predictive Control with Neural Networks in Domestic Heating Systems. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 19–24, 2019.
  • Počet citácií       2
  • M. Furka – K. Kiš – M. Horváthová – M. Mojto – M. Bakošová: Identification and Control of a Cascade of Biochemical Reactors. V 2020 Cybernetics Informatics (K I), str. 1-6, 2020.
  • Maier, Laura – Brillert, Julius – Zanetti, Ettore – Mueller, Dirk: Approximating model predictive control strategies for heat pump systems applied to the building optimization testing framework (BOPTEST). Journal of Building Performance Simulation, č. 3, zv. 17, str. 338-360, 2024.
Ľ. Čirka – M. Kalúz – D. Dzurková – R. Valo: Educational Device Flexy2 in the Teaching of Experimental Identication. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 239–244, 2019.
  • Počet citácií       1
  • Holaza, Juraj – Galcikova, Lenka – Oravec, Juraj – Kvasnica, Michal: A software package for MPC design and tuning: MPT. V 2023 62nd IEEE Conference on Decision and Control, CDC, str. 5688-5695, 2023.
A. Sharma – R. Valo – M. Kalúz – R. Paulen – M. Fikar: Implementation of optimal strategy to economically improve batch membrane separation. Journal of Process Control, zv. 76, str. 155–164, 2019.
  • Počet citácií       3
  • Wu, Xiaolong – Han, Honggui – Qiao, Junfei: Data-Driven Intelligent Warning Method for Membrane Fouling. IEEE Transactions on Neural Networks and Learning Systems, č. 8, zv. 32, str. 3318-3329, 2021.
  • Wu, Xiao-Long – Han, Hong-Gui – Zhang, Hui-Juan – Qiao, Jun-Fei: Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network. International Journal of Fuzzy Systems, 2021.
  • Trystram,G.: Automatic control of industrial food processes, str. 351-390, 2022.
M. Klaučo – M. Kalúz – M. Kvasnica: Machine learning-based warm starting of active set methods in embedded model predictive control. Engineering Applications of Artificial Intelligence, zv. 77, str. 1–8, 2019.
  • Počet citácií       32
  • Masti, Daniele – Bemporad, Alberto: Learning binary warm starts for multiparametric mixed-integer quadratic programming. V 2019 18th European Control Conference (ECC), str. 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, č. 109247, zv. 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, č. 4, zv. 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, č. NM0HO, zv. 92, str. 261-270, 2020.
  • Bertsimas, Dimitris – Stellato, Bartolomeo: The voice of optimization. Machine Learning, č. 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, č. 6, zv. 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. V 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, zv. 97, str. 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, č. 103585, zv. 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), zv. 1088, str. 529-537, 2020.
  • Sabir, Z. – Raja, M.A.Z. – Botmart, T. – Weera, W.: A Neuro-Evolution Heuristic Using Active-Set Techniques to Solve a Novel Nonlinear Singular Prediction Differential Model. Fractal and Fractional, č. 1, zv. 6, 2022.
  • Chen, S.W. – Wang, T. – Atanasov, N. – Kumar, V. – Morari, M.: Large scale model predictive control with neural networks and primal active sets. Automatica, č. 109947, zv. 135, 2022.
  • Ławryńczuk, M.: Introduction to Model Predictive Control. Studies in Systems, Decision and Control, zv. 389, str. 3-40, 2022.
  • Sabir, Z. – Raja, M.A.Z. – Baleanu, D. – Cengiz, K. – Shoaib, M.: Design of Gudermannian Neuroswarming to solve the singular Emden–Fowler nonlinear model numerically. Nonlinear Dynamics, č. 4, zv. 106, str. 3199-3214, 2021.
  • Norouzi, A. – Heidarifar, H. – Shahbakhti, M. – Koch, C.R. – Borhan, H.: Model predictive control of internal combustion engines: A review and future directions. Energies, č. 19, zv. 14, 2021.
  • Hu, W. – Zhou, Y. – Zhang, Z. – Fujita, H.: Model Predictive Control for Hybrid Levitation Systems of Maglev Trains with State Constraints. IEEE Transactions on Vehicular Technology, č. 10, zv. 70, str. 9972-9985, 2021.
  • Sabir, Z. – Ag Ibrahim, A.A. – Raja, M.A.Z. – Nisar, K. – Umar, M. – Rodrigues, J.J.P.C. – Mahmoud, S.R.: Soft computing paradigms to find the numerical solutions of a nonlinear influenza disease model. Applied Sciences (Switzerland), č. 18, zv. 11, 2021.
  • Liu, W. – Zheng, Y. – Chen, Q. – Geng, D.: An adaptive CGPC based anti-windup PI controller with stability constraints for the intermittent power penetrated system. International Journal of Electrical Power and Energy Systems, č. 106922, zv. 130, 2021.
  • Nouwens, S.A.N. – de Jager, B. – Paulides, M. – Heemels, W.P.M.H.: Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them. V IFAC-PapersOnLine, str. 232-237, 2021.
  • Stomberg, G. – Engelmann, A. – Faulwasser, T.: A distributed active set method for model predictive control. V IFAC-PapersOnLine, str. 263-268, 2021.
  • Sabir, Z. – Khalique, C.M. – Raja, M.A.Z. – Baleanu, D.: Evolutionary computing for nonlinear singular boundary value problems using neural network, genetic algorithm and active-set algorithm. European Physical Journal Plus, č. 2, zv. 136, 2021.
  • Bertsimas, D. – Stellato, B.: The voice of optimization. Machine Learning, č. 2, zv. 110, str. 249-277, 2021.
  • Sabir, Z. – Nisar, K. – Zahoor Raja, M.A. – Haque, M.R. – Umar, M. – Ag Ibrahim, A.A. – Le, D.-N.: IoT Technology Enabled Heuristic Model with Morlet Wavelet Neural Network for Numerical Treatment of Heterogeneous Mosquito Release Ecosystem. IEEE Access, zv. 9, str. 132897-132913, 2021.
  • Liu, Qibo – Li, Shaoyuan – Zheng, Yi – Qi, Chenkun – Luo, Min: Learning-Based Distributed Model Predictive Control Approximation Scheme With Guarantees. IEEE Transactions on Industrial Informatics, 2023.
  • Sabir, Zulqurnain – Baleanu, Dumitru – Alhazmi, Sharifah E. – Ben Said, Salem: Heuristic computing with active set method for the nonlinear Rabinovich-Fabrikant model. Heliyon, č. 11, zv. 9, 2023.
  • Norouzi, Armin – Heidarifar, Hamed – Borhan, Hoseinali – Shahbakhti, Mahdi – Koch, Charles Robert: Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions. Engineering Applications of Artificial Intelligence, č. 105878, zv. 120, 2023.
  • Leonow, Sebastian – Dyrska, Raphael – Moennigmann, Martin: Embedded Implementation of a Neural Network emulating Nonlinear MPC in a process control application. V 2023 European Control Conference, ECC, 2023.
  • Emori, E. Y. – Ravagnani, M. A. S. S. – Costa, C. B. B.: An Advanced Control Strategy for the Evaporation Section of An Integrated First- and Second-Generation Ethanol Sugarcane Biorefinery. Chemical and Biochemical Engineering Quarterly, č. 1, zv. 37, str. 17-32, 2023.
  • Sassella, Andrea – Breschi, Valentina – Formentin, Simone: Data-driven explicit predictive control with limited resources: an exploration-based strategy. Ifac Papersonline, č. 15, zv. 58, str. 348-353, 2024.
  • Pahari, Silabrata – Shah, Parth – Kwon, Joseph Sang -Il: Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs. Chemical Engineering Research & Design, zv. 204, str. 292-302, 2024.
  • Sun, Linjin – Ji, Yangjian – Zhu, Zheren – Jiang, Xiaoyu – Zhu, Xiaoyang – Zhang, Nian: Chronicle knowledge-based multi-level response prediction for predictive control by forest models in process industry. Engineering Applications of Artificial Intelligence, č. 107632, zv. 129, 2024.
  • Liu, Qibo – Li, Shaoyuan – Zheng, Yi – Qi, Chenkun – Luo, Min: Learning-Based Distributed Model Predictive Control Approximation Scheme With Guarantees. IEEE Transactions on Industrial Informatics, č. 4, zv. 20, str. 5308-5317, 2024.
P. Bakaráč – J. Holaza – M. Klaučo – M. Kalúz – J. Löfberg – M. Kvasnica: Explicit MPC based on Approximate Dynamic Programming. V European Control Conference 2018, Limassol, Cyprus, str. 1172–1177, 2018.
  • Počet citácií       9
  • Moennigmann, Martin: On the structure of the set of active sets in constrained linear quadratic regulation. Automatica, zv. 106, str. 61-69, 2019.
  • Gulan, M. – Minarcik, P. – Kulhanek, J.: Energy-efficient Swing-up and MPC Stabilization of an Inverted Pendulum. V Proceedings of the 2019 22nd International Conference on Process Control, PC 2019, str. 209-214, 2019.
  • Boumaza, H. – Belarbi, K.: Optimal model predictive control solution approximation using Takagi Sugeno for linear and a class of nonlinear systems. International Journal of Dynamics and Control, 2021.
  • Teófilo P. G. Mendes – Leizer Schnitman – Idelfonso Bessa dos Reis Nogueira – Ana Mafalda Almeida Peixoto Ribeiro – Alírio Egídio Rodrigues – José Miguel Loureiro – Márcio A.F. Martins: A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC. Expert Systems with Applications, zv. 210, str. 118369, 2022.
  • Gupta, Nikita – De, Riju – Kodamana, Hariprasad – Bhartiya, Sharad: Batch-to-Batch Adaptive Iterative Learning Control─ Explicit Model Predictive Control Two-Tier Framework for the Control of Batch Transesterification Process. ACS omega, č. 45, zv. 7, str. 41001–41012, 2022.
  • Tijani, Tunde Mufutau – Jimoh, Isah Abdulrasheed: Optimal control of the double inverted pendulum on a cart: A comparative study of explicit MPC and LQR. Applications of Modelling and Simulation, zv. 5, str. 74–87, 2021.
  • Aouaichia, Abdelhadi – Kara, Kamel – Benrabah, Mohamed – Hadjili, Mohamed Laid: Constrained Neural Network Model Predictive Controller Based on Archimedes Optimization Algorithm with Application to Robot Manipulators. Journal of Control, Automation and Electrical Systems, č. 6, zv. 34, str. 1159–1178, 2023.
  • Srishti – Sharma, Sudeep – Padhy, Prabin K: Comparative Study of Inverted Pendulum with Various Types of Controllers. V 2021 International Conference on Control, Automation, Power and Signal Processing (CAPS), str. 1-5, 2021.
  • Mendes, Teofilo P. G. – Schnitman, Leizer – Nogueira, Idelfonso Bessa dos Reis – Ribeiro, Ana Mafalda Almeida Peixoto – Rodrigues, Alirio Egidio – Loureiro, Jose Miguel – Martins, Marcio A. F.: A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC. Expert Systems with Applications, č. 118369, zv. 210, 2022.
M. Kalúz – Ľ. Čirka – M. Fikar: Flexy: An Open-source Device for Control Education. Editor(i): Cardoso, A., V 13th APCA International Conference on Automatic Control and Soft Computing, Nova Gráfica, Univesrity of the Azores, Ponta Delgada, Portugal, str. 37–42, 2018.
  • Počet citácií       7
  • Takács, G. – Konkoly, T. – Gulan, M.: OptoShield: A Low-Cost Tool for Control and Mechatronics Education. V 2019 12th Asian Control Conference, ASCC 2019, str. 1001-1006, 2019.
  • Takács, G. – Gulan, M. – Bavlna, J. – Köplinger, R. – Kováč, M. – Mikuláš, E. – Zarghoon, S. – Salíni, R.: HeatShield: A low-cost didactic device for control education simulating 3d printer heater blocks. V IEEE Global Engineering Education Conference, EDUCON, str. 374-383, 2019.
  • Demenkov, M.: Studying aeroelastic oscillations with tensoresistor and Arduino. V AIP Conference Proceedings, 2018.
  • Demenkov, M.: Experimental Investigation of Viscoelastic Hysteresis in a Flex Sensor. Trends in Mathematics, zv. 11, str. 231-235, 2019.
  • Oravec, J. – Holaza, J. – Horváthová, M. – Nguyen, N.A. – Kvasnica, M. – Bakošová, M.: Convex-lifting-based robust control design using the tunable robust invariant sets. European Journal of Control, zv. 49, str. 44-52, 2019.
  • Afonso, Ricardo – Soares, Filomena – de Moura Oliveira, P. B.: Innovative Teaching/Learning Methodologies in Control, Automation and Robotics: a Short Review. V 2021 4th International Conference of the Portuguese Society for Engineering Education (cispee), 2021.
  • Horvathova, Michaela – Oravec, Juraj – Bakosova, Monika: Real-Time Convex-lifting-based Robust Control Using Approximated Control Law. V 2020 59th IEEE Conference on Decision and Control (CDC), str. 2160-2165, 2020.
A. Sharma – R. Valo – M. Kalúz – R. Paulen – M. Fikar: Experimental validation and comparison of time-optimal and industrial strategy for membrane separation process. V Preprints of the 9th Vienna International Conference on Mathematical Modelling, Vienna, Austria, February 21-23, 2018, str. 869–874, 2018.
  • Počet citácií       2
  • Melnikova, Elena – Bogdanova, Ekaterina – Paveleva, Daria: The Research of Whey Permeate Mineral Profile at Different Stages of Membrane Filtration. Potravinarstvo Slovak Journal of Food Sciences, zv. 17, str. 748 – 758, 2023.
  • Melnikova, Elena Ivanovna – Bogdanova, Ekaterina Viktorovna – Paveleva, Daria Anatolyevna: Whey Permeate Mineral Profile at Various Stages of Membrane Filtration; [مشخصات مواد معدنی تراویده آب پنیر در مراحل گوناگون تصفیه غشایی]. Applied Food Biotechnology, č. 4, zv. 10, str. 223 – 231, 2023.
A. Vasičkaninová – M. Bakošová – Ľ. Čirka – M. Kalúz – J. Oravec: Robust Controller Design for a Laboratory Heat Exchanger. Applied Thermal Engineering, zv. 128, str. 1297–1309, 2018.
  • Počet citácií       17
  • Petar Sabev Varbanov – Xue Xiu Jia – David John Kukulka – Xia Liu – Jiří Jaromír Klemeš: Emission minimisation by improving heat transfer, energy conversion, CO2 integration and effective training. Applied Thermal Engineering, zv. 131, str. 531–539, 2018.
  • LiborPekař: Advanced Analytic and Control Techniques for Thermal Systems with Heat Exchangers, Kapitola: Chapter 12 - Controller design and tuning of a delayed heat exchanger plant in a robust sense. str. 263-284, 2020.
  • Yong Gu – Hao-Zhe Jin – Guo-Fu Ou: Corrosion risk analysis of tube-and-shell heat exchangers and design of outlettemperature control system. Petroleum Science, 2021.
  • Bartecki, Krzysztof: Rational Transfer Function Model for a Double-Pipe Parallel-Flow Heat Exchanger. Symmetry-basel, č. 8, zv. 12, 2020.
  • Greco, Adriana – Gundabattini, Edison – Solomon, Darius Gnanaraj – Rassiah, Raja Singh – Masselli, Claudia: A Review on Geothermal Renewable Energy Systems for Eco-Friendly Air-Conditioning. Energies, č. 15, zv. 15, 2022.
  • Jin, Hao-Zhe – Gu, Yong – Ou, Guo-Fu: Corrosion risk analysis of tube-and-shell heat exchangers and design of outlet temperature control system. Petroleum Science, č. 4, zv. 18, str. 1219-1229, 2021.
  • Bartecki, Krzysztof: An Approximate Transfer Function Model for a Double-Pipe Counter-Flow Heat Exchanger. Energies, č. 14, zv. 14, 2021.
  • Chen, Yilong – de Oliveira, Mauricio C.: An Alternative Algorithm to the D-K Iterations for Robust Control Design. IEEE Control Systems Letters, č. 1, zv. 5, str. 115-120, 2021.
  • Bartecki, Krzysztof: Rational Transfer Function Model for a Double-Pipe Parallel-Flow Heat Exchanger. Symmetry-basel, č. 8, zv. 12, 2020.
  • Sallam, Omar Khaled – Azar, Ahmad Taher – Guaily, Amr – Ammar, Hossam Hassan: Tuning of PID Controller Using Particle Swarm Optimization for Cross Flow Heat Exchanger Based on CFD System Identification. V Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, str. 300-312, 2020.
  • Zhu, Jianzhong – Wu, Xiao – Shen, Jiong: Practical disturbance rejection control for boiler-turbine unit with input constraints. Applied Thermal Engineering, č. 114184, zv. 161, 2019.
  • Sit, M. L. – Patsiuk, I, V. – Juravliov, A. A. – Burciu, I, V. – Timchenko, V, D.: Control of Heat Exchanger with Variable Heat Transfer Surface Area. Problemele Energeticii Regionale, č. 1, str. 90-101, 2019.
  • Wen, Yalan – Wang, Ling – Peng, Weiqing – Menhas, Muhammad Ilyas – Qian, Lin: Application of Intelligent Virtual Reference Feedback Tuning to Temperature Control in a Heat Exchanger. V Intelligent Computing and Internet of Things, Pt Ii, str. 311-320, 2018.
  • Pekar, Libor – Matusu, Radek – Dostalek, Petr – Song, Mengjie: Further experimental results on modelling and algebraic control of a delayed looped heating-cooling process under uncertainties. Heliyon, č. 8, zv. 9, 2023.
  • Govind, Achu K. R. – Subhasish, Mahapatra: Design of PI/PID Control Algorithm for a Benchmark Heat Exchanger System using Frequency Domain Specifications. V 2022 IEEE International Power and Renewable Energy Conference, Iprecon, 2022.
  • Schiavo, Michele – Satue, Manuel G. – Beschi, Manuel – Visioli, Antonio – Arahal, Manuel R.: Robust FOPID Control of an After-Cooler Heat Exchanger with TES. Ifac Papersonline, č. 7, zv. 58, str. 281-286, 2024.
  • Menak, Ramazan – Tan, Nusret: Computation of All Robustly Stabilizing PID Controllers Based on H-∞ Robust Stability Condition. IEEE ACCess, zv. 12, str. 140556-140593, 2024.
M. Kalúz – Ľ. Čirka – R. Valo – M. Fikar: Lab of Things: A Network-Based I/O Services for Laboratory Experimentation. V Preprints of the 20th IFAC World Congress, Toulouse, France, zv. 20, str. 14028–14033, 2017.
  • Počet citácií       3
  • M. D. Prieto – Á. F. Sobrino – L. R. Soto – D. Romero – P. F. Biosca – L. R. Martínez: Active Learning based Laboratory towards Engineering Education 4.0. V 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), str. 776-783, 2019.
  • Juraj Oravec – Monika Bakošová – Lenka Galčíková – Michal Slávik – Michaela Horváthová – Alajos Mészáros: Soft-constrained robust model predictive control of a plate heat exchanger: Experimental analysis. Energy, zv. 180, str. 303 - 314, 2019.
  • R. Dyrska – M. Horváthová – P. Bakaráč – M. Mönnigmann – J. Oravec: Heat exchanger control using model predictive control with constraint removal. Applied Thermal Engineering, zv. 227, 2023.   Zenodo
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