Project number:

VEGA 1/0297/22

Title of the project:

Controller design methods for low-level carbon footprint process automation

Grant scheme:

VEGA

Project type:

VEGA Research Projects

Project duration (start):

01.01.2022

Project duration (end):

31.12.2025

Principal investigator:

Juraj Oravec

Deputy investigator:

Juraj Holaza

Investigators:

Peter Bakaráč, Ľuboš Čirka, Diana Dzurková, Rastislav Fáber, Kristína Fedorová, Miroslav Fikar, Lenka Galčíková, Michaela Horváthová, Martin Kalúz, Martin Klaučo, Roman Kohút, Alajos Mészáros, Martin Mojto, Radoslav Paulen, Erika Plšičík Pavlovičová, Richard Valo, Jozef Vargan, Anna Vasičkaninová

2025

1. P. Bakaráč – E. Pavlovičová – M. Klaučo – J. Oravec: Bayesian Optimization-Based Tunable Explicit MPC on a Pocket-Sized Embedded Platform. In IEEE 64th Conference on Decision and Control, IEEE, Rio de Janeiro, Brazil, pp. 4663–4670, 2025.
2. M. Fikar – M. Kvasnica – R. Paulen – M. Klaučo – J. Oravec – M. Kalúz – M. Horváthová – Ľ. Horanská: Matematické aspekty strojového učenia a ich vplyv na riadenie procesov III.. In Matematické aspekty strojového učenia a ich vplyv na riadenie procesov III., SCHK FCHPT STU v Bratislave, no. 3, 2025.
3. M. Horváthová – P. Valábek – K. Kiš – L. Galčíková: Experimental Application of Stochastic Approximated MPC. Editor(s): R. Paulen and M. Fikar and J. Oravec, In Proceedings of the 2025 25th International Conference on Process Control, IEEE, pp. 130–135, 2025.
4. Y. Jiang – K. Fedorová – J. Su – J. Oravec – B. Houska – C. Jones: Fast and Lightweight: A Real-Time Parallelizable MPC for Embedded Systems. European Journal of Control, vol. 83, 2025.
5. M. Kvasnica – M. Fikar – R. Paulen – M. Klaučo – J. Oravec – Ľ. Horanská: Matematické aspekty strojového učenia a ich vplyv na riadenie procesov II.. In Matematické aspekty strojového učenia a ich vplyv na riadenie procesov II., SCHK, vol. 2, 2025.
6. N. Lindner – J. Holaza – J. Oravec – M. Mönnigmann: Quadcopter altitude control using model predictive control with online constraint removal. Editor(s): R. Paulen and M. Fikar and J. Oravec, In Proceedings of the 2025 25th International Conference on Process Control, IEEE, pp. 62–67, 2025.
7. M. Markowski – M. Trafczynski – E. Pavlovičová – J. Oravec – S. Alabrudzinski – P. Kisielewski – K. Urbaniec – K. Elwertowski – D. Gostynski: Impact of Industrial Constraints on the Dynamic Performance of a PID-Controlled Hybrid Heat-Integrated Distillation System with a Plate Heat and Mass Exchanger. International Journal of Heat and Mass Transfer, vol. 252, 2025.
8. E. Pavlovičová – B. Daráš – P. Bakaráč – M. Fikar – J. Oravec: From Theory to Harvest: Robust MPC Supervising Smart Greenhouse System. Editor(s): R. Paulen and M. Fikar and J. Oravec, In Proceedings of the 2025 25th International Conference on Process Control, IEEE, pp. 80–85, 2025.   Zenodo
9. E. Pavlovičová – J. Holaza – L. Galčíková – J. Oravec: Introducing Implicit Tube Model Predictive Control to MPT+: Efficient Design for Large-Scale Systems. In American Control Conference 2025 (ACC25), Denver, Colorado, USA, pp. 33–38, 2025.
10. E. Pavlovičová – J. Oravec – M. Trafczynski – M. Markowski – S. Alabrudzinski – P. Kisielewski – K. Urbaniec: Energy and Carbon Footprint Reduction for Hybrid Heat-Integrated Distillation Systems: Robust Model Predictive Control Approach. Energy, vol. 334, 2025.
11. S. Serhiienko – J. Holaza – J. Oravec: Complexity Reduction in Tube-Based Robust Model Predictive Control. Editor(s): R. Paulen and M. Fikar and J. Oravec, In Proceedings of the 25th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, pp. 31–31, 2025.
12. M. Wadinger – R. Fáber – E. Pavlovičová – R. Paulen: Carbon neutral greenhouse: Economic model predictive control framework for education. European Journal of Control, vol. 83, pp. 101297, 2025.

2024

1. L. Galčíková – J. Oravec: Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis. Journal of Process Control, vol. 140, pp. 103260, 2024.   Zenodo
2. J. Holaza – P. Bakaráč – J. Oravec: Revisiting Reachability-Driven Explicit MPC for Embedded Control. European Journal of Control, vol. 78, pp. 101019, 2024.   Zenodo
3. E. Pavlovičová – J. Vargan – P. Bakaráč – M. Fikar – J. Oravec: Offset-free MPC of Temperature in Smart Greenhouse VESNA. In Preprints of the 8th IFAC Conference on Nonlinear Model Predictive Control, IFAC, pp. 314–317, 2024.   Zenodo

2023

1. R. Dyrska – M. Horváthová – P. Bakaráč – M. Mönnigmann – J. Oravec: Heat exchanger control using model predictive control with constraint removal. Applied Thermal Engineering, vol. 227, 2023.   Zenodo
2. R. Fáber – K. Ľubušký – M. Mojto – R. Paulen: Enhancing Industrial Data Analysis through Machine Learning-based Classification of Petrochemical Datasets. In 49th International Conference of the Slovak Society of Chemical Engineering SSCHE 2023, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 160–160, 2023.   Zenodo
3. R. Fáber – K. Ľubušký – R. Paulen: Machine Learning-based Classification of Online Industrial Datasets. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, pp. 132–137, 2023.   Zenodo
4. K. Fedorová – Y. Jiang – J. Oravec – C. Jones – M. Kvasnica: A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability. In 62nd IEEE Conference on Decision and Control, IEEE, Singapore, pp. 4705–4710, 2023.   Zenodo
5. L. Galčíková – P. Belková – J. Oravec: Real-time tuning of approximated explicit MPC of a heat exchanger. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 24th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, pp. 38–38, 2023.   Zenodo
6. J. Holaza – L. Galčíková – J. Oravec – M. Kvasnica: A software package for MPC design and tuning: MPT+. In 62nd IEEE Conference on Decision and Control, IEEE, Singapore, pp. 5688–5695, 2023.   Zenodo
7. J. Holaza – K. Kvasnicová – E. Pavlovičová – J. Oravec: Tube MPC Extension of MPT: Experimental Analysis. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, pp. 120–125, 2023.   Zenodo
8. M. Horváthová – L. Galčíková – M. Klaučo – J. Oravec: Real-Time Optimisation-Based Robust Control: Heat Exchanger Comparative Analysis. In 62nd IEEE Conference on Decision and Control, IEEE, Singapore, pp. 6535–6540, 2023.
9. M. Horváthová – J. Oravec: Approximated Convex-lifting-based Robust Control for a Heat Exchanger. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 24th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, 2023.   Zenodo
10. R. Kohút – E. Pavlovičová – K. Fedorová – J. Oravec – M. Kvasnica: Real-Time Deep-Learning-Driven Parallel MPC. In 62nd IEEE Conference on Decision and Control, IEEE, Singapore, 2023.   Zenodo
11. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Comparing Linear and Nonlinear Soft Sensor Approaches for Industrial Distillation Columns (in Anglo-Saxon). In 49th International Conference of the Slovak Society of Chemical Engineering SSCHE 2023, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 159–159, 2023.   Zenodo
12. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Input Structure Selection for Soft-Sensor Design: Does It Pay Off?. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, pp. 162–167, 2023.   Zenodo
13. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Driven Indication of Flooding in an Industrial Debutanizer Column. Editor(s): Antonis Kokossis, Michael C. Georgiadis, Efstratios N. Pistikopoulos, In 33rd European Symposium on Computer Aided Process Engineering, Elsevier, no. 1, vol. 33, pp. 1001–1006, 2023.   Zenodo
14. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Design of Multi-Model Linear Inferential Sensors with SVM-based Switching Logic. In IFAC World Congress 2023, Yokohama, Japan, pp. 2545–2550, 2023.     Zenodo
15. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, vol. 178, pp. 108379, 2023.   arXiv   Zenodo
16. J. Oravec: Distributed Version Control System Git (in Slovak), Vydavateľstvo FCHPT, 2023.
17. J. Oravec – P. Bakaráč – E. Pavlovičová – M. Fikar: Smart Eco Greenhouse VESNA. In IFAC World Congress 2023, Yokohama, Japan, pp. 10295–10300, 2023.   Zenodo
18. E. Pavlovičová – J. Oravec: Distributed Model Predictive Control Design for a Laboratory Device. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 24th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, pp. 50–50, 2023.   Zenodo
19. M. Ružička – I. Helgeland – R. Paulen: Modelling of a Forward Osmosis Process (in Slovak). In Membránové procesy pro udržitelný rozvoj - MEMPUR 2023, pp. 35–36, 2023.   Zenodo
20. J. Vargan – J. Puk – K. Ľubušký – M. Fikar: Steady-State Analysis of Industrial MPC Controllers. Editor(s): R. Paulen and M. Fikar, In Proceedings of the 24th International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, 2023.   Zenodo

2022

1. P. Bakaráč – M. Horváthová – L. Galčíková – J. Oravec – M. Bakošová: Approximated MPC for embedded hardware: Recursive random shooting approach. Computers & Chemical Engineering, vol. 165, 2022.
2. R. Fáber – R. Valo – M. Roman – R. Paulen: Towards Temperature Monitoring in Long-Term Grain Storage. In 2022 Cybernetics & Informatics (K&I), pp. 1–6, 2022.   Zenodo
3. M. Fikar – M. Klaučo – R. Paulen: Theory of Automatic Control I. Practice Examples, FCHPT STU v Bratislave, 2022.
4. L. Galčíková – M. Horváthová – J. Oravec – M. Bakošová: Self-Tunable Approximated Explicit Model Predictive Control of a Heat Exchanger. Chemical Engineering Transactions, 2022, Vol. 94, no. 94, pp. 1015–1020, 2022.
5. A. R. Gottu Mukkula – R. Paulen: Robust Design of Optimal Experiments Considering Consecutive Re-Designs. Editor(s): Luis Ricardez-Sandoval, Jesus Pico, In 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, IFAC, pp. 14–19, 2022.
6. M. Horváthová – L. Galčíková – J. Oravec: Control Design for a Nonlinear Reactors-Separator Plant. In 2022 Cybernetics & Informatics (K&I), pp. 1–6, 2022.
7. J. Mikleš – Ľ. Čirka – J. Oravec – M. Fikar: Design of H2 and Hinf control using Lyapunov functions (in Slovak), FCHPT STU v Bratislave, 2022.
8. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based Design of Inferential Sensors for an Industrial Depropanizer Column with Data Pre-treatment Analysis. Editor(s): Mário Mihaľ, In 48th International Conference of the Slovak Society of Chemical Engineering SSCHE 2022 and Membrane Conference PERMEA 2022, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 200, 2022.
9. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Support Vector Machine-based Design of Multi-model Inferential Sensors. Editor(s): Ludovic Montastruc, Stephane Negny, In 32nd European Symposium on Computer Aided Process Engineering, Elsevier, no. 1, vol. 32, pp. 1045–1050, 2022.
10. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Multi-Model Soft-Sensor Design for a Depropanizer Distillation Column. In Advanced Process Modelling Forum 18-19 October 2022, 2022.   Zenodo
11. J. Oravec – M. Klaučo: Real-time tunable approximated explicit MPC. Automatica, vol. 142, pp. 110315, 2022.
12. J. Shi – Y. Jiang – J. Oravec – B. Houska: Parallel MPC for Linear Systems with State and Input Constraints. IEEE Control Systems Letters, vol. 7, pp. 229–234, 2022.