- Project number:
- APVV-21-0019
- Title of the project:
- Data Based Process Control
- Grant scheme:
- APVV-VV2021
- Project type:
- APVV Research Projects
- Project duration (start):
- 01.07.2022
- Project duration (end):
- 30.06.2025
- Principal investigator:
- Miroslav Fikar
- Deputy investigator:
- Radoslav Paulen
- Investigators:
- Diana Dzurková, Rastislav Fáber, Martin Kalúz, Karol Kiš, Martin Klaučo, Martin Mojto, Patrik Valábek, Carlos E. Valero, Jozef Vargan
The main aim of the proposed research project is to investigate and design new data-driven advanced methods of automatic control and monitoring in process industries to improve efficiency of process plants, their monitoring, and process control and to improve profitability, stability, and competitiveness. We will focus on processes with heat and mass transfer where efficiency can be improved significantly. These processes are inherently complex, exhibit nonlinear and hybrid behaviour that has consequences in control quality and performance. Optimal control and monitoring will cover interplay of techniques of applied statistics, treatment of big data, data-based state estimation, inferential sensors, dynamic optimisation, predictive control. Also, important will be software implementation of proposed solutions, available to a larger community in open-source code as well as verification of the proposed methods in laboratory conditions and with data from industrial partners.
Publications
2025
- R. Kohút – M. Klaučo – M. Kvasnica: Unified carbon emissions and market prices forecasts of the power grid. Applied Energy, vol. 377, 2025.
2024
- A. Ahmad – R. Paulen – R. Valo – M. Fikar – S. Engell: Iterative real-time optimization of a membrane pilot plant (in Anglo-Saxon). Control Engineering Practice, vol. 147, pp. 105907, 2024. Zenodo
- R. Dyrska – S. Leonow – M. Fikar – M. Mönnigmann: A Feasibility Condition for the Governor-based Tuning of Explicit MPC: Application to a Hydraulic Plant. In 12th IFAC Symposium on Advanced Control of Chemical Processes, pp. 540–545, 2024. Zenodo
- D. Efremov – T. Haniš – M. Klaučo: Vehicle and Wheels Stability Defined Using Driving Envelope Protection Algorithm. IEEE Transactions on Intelligent Transportation Systems, pp. 1–13, 2024.
- R. Fáber – M. Mojto – K. Ľubušký – R. Paulen: From Data to Alarms: Data-driven Anomaly Detection Techniques in Industrial Settings. Editor(s): Flavio Manenti, G.V. Rex Reklaitis, In 34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering, vol. 53, pp. 2857–2862, 2024. Zenodo
- R. Fáber – M. Mojto – K. Ľubušký – R. Paulen: Integrated Data Analytics and Regression Techniques for Real-time Anomaly Detection in Industrial Processes. In 12th IFAC Symposium on Advanced Control of Chemical Processes, pp. 320–325, 2024. Zenodo
- D. Horváth – M. Klaučo – M. Strémy: Virtual Commissioning with TIA Step7 and Simulink without S-Functions. Journal of Engineering, 2024. Zenodo
- M. Klaučo – P. Valábek: Application of Machine Learning in Accelerating MPC for Chemical Processes. In 12th IFAC Symposium on Advanced Control of Chemical Processes, 2024. Zenodo
- A. Maidi – R. Paulen – J. Corriou: Velocity control design of hyperbolic distributed parameter systems using zeroing dynamics and zeroing-gradient dynamics methods (in Anglo-Saxon). Journal of Process Control, vol. 138, pp. 103210, 2024. Zenodo
- M. Micherda – K. E. Özdemir – R. Paulen: Control of Laboratory Distillation Column with Methanol-Water Mixture. In 50th International Conference of the Slovak Society of Chemical Engineering SSCHE 2024, Slovak Society of Chemical Engineering, Bratislava, SK, 2024. Zenodo
- 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
- M. Ružička – I. Helgeland – R. Paulen: Modelling and Optimal Operation of a Forward Osmosis Process. In 50th International Conference of the Slovak Society of Chemical Engineering SSCHE 2024, Slovak Society of Chemical Engineering, Bratislava, SK, 2024. Zenodo
- M. Ružička – I. Helgeland – R. Paulen: Modelling and Simulation of a Forward Osmosis Process (in Anglo-Saxon). Editor(s): Flavio Manenti, G.V. Rex Reklaitis, In 34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering, vol. 53, pp. 319–324, 2024. Zenodo
- P. Valábek – M. Fikar – M. Klaučo: Enhancing Closed-Loop Performance in Manufacturing Processes Using Universal Controller Tuning for Industrial Practice. In 12th IFAC Symposium on Advanced Control of Chemical Processes, pp. 375–380, 2024. Zenodo
- J. Vargan – J. Puk – K. Ľubušký – M. Fikar: Steady-State Optimality Analysis of MPC Controllers. Editor(s): Flavio Manenti, G.V. Rex Reklaitis, In 34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering, vol. 53, 2024. Zenodo
2023
- R. Dyrska – J. Müller – M. Fikar – M. Mönnigmann: Simple Controller Tuning for Unmanned Aerial Vehicles using Governors. 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. 108–113, 2023. Zenodo
- 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
- 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
- M. Fikar – K. Kiš – M. Klaučo – M. Mönnigmann: Simple Tuning of Arbitrary Controllers using Governors. In IFAC World Congress 2023, Yokohama, Japan, pp. 9109–9114, 2023. Zenodo
- 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, 2023. Zenodo
- 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.
- M. Kalúz – R. Kohút – D. Dzurková: MPC-Mimicking Neural Network Based on Homomorphic Encryption. 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. 126–131, 2023. Zenodo
- 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
- 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
- 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
- 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
- M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, vol. 178, 2023. arXiv Zenodo
- J. Oravec – P. Bakaráč – E. Pavlovičová – M. Fikar: Smart Eco Greenhouse VESNA. In IFAC World Congress 2023, Yokohama, Japan, pp. 10295–10300, 2023. Zenodo
- 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
- P. Valábek – M. Klaučo: Generation of MPC-like Explicit Control Laws with Reinforcement Machine Learning. 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
- 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
- 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
- M. Fikar – M. Klaučo – K. Kiš: A General Controller Tuning using Governors. 2022.
- M. Fikar – M. Klaučo – R. Paulen: Theory of Automatic Control I. Practice Examples, FCHPT STU v Bratislave, 2022.
- K. Kiš – P. Bakaráč – M. Klaučo: Nearly Optimal Tunable MPC Strategies on Embedded Platforms. In 18th IFAC Workshop on Control Applications of Optimization, IFAC-PapersOnline, pp. 326–331, 2022.
- J. Mikleš – Ľ. Čirka – J. Oravec – M. Fikar: Design of H2 and Hinf control using Lyapunov functions (in Slovak), FCHPT STU v Bratislave, 2022.
- 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
Investigators
Responsibility for content: prof. Ing. Miroslav Fikar, DrSc.
Last update:
30.10.2021 7:58