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

2024

  1. 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
  2. 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, 2024, pp. 540–545, 2024.
  3. 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.
  4. 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, 2024.   Zenodo
  5. 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, 2024, pp. 320–325, 2024.   Zenodo
  6. M. KlaučoP. Valábek: Application of Machine Learning in Accelerating MPC for Chemical Processes. 2024.   GitHub
  7. 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
  8. 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
  9. 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
  10. 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

  1. 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
  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. M. FikarK. KišM. Klaučo – M. Mönnigmann: Simple Tuning of Arbitrary Controllers using Governors. In IFAC World Congress 2023, Yokohama, Japan, pp. 9109–9114, 2023.     Zenodo
  5. M. Furka – M. KalúzM. FikarM. Klaučo: Guidelines for Secure Process Control: Harnessing the Power of Homomorphic Encryption and State Feedback Control. IEEE ACCESS, 2023.   Zenodo
  6. M. HorváthováL. GalčíkováM. KlaučoJ. 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.
  7. M. KalúzR. KohútD. 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
  8. M. Mojto – K. Ľubušký – M. FikarR. 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
  9. M. Mojto – K. Ľubušký – M. FikarR. 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
  10. M. Mojto – K. Ľubušký – M. FikarR. 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
  11. M. Mojto – K. Ľubušký – M. FikarR. 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
  12. M. Mojto – K. Ľubušký – M. FikarR. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, vol. 178, 2023.   arXiv   Zenodo
  13. J. OravecP. BakaráčE. PavlovičováM. Fikar: Smart Eco Greenhouse VESNA. In IFAC World Congress 2023, Yokohama, Japan, pp. 10295–10300, 2023.   Zenodo
  14. 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.
  15. P. ValábekM. 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.
  16. 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. 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
  2. M. FikarM. KlaučoK. Kiš: A General Controller Tuning using Governors. 2022.
  3. M. FikarM. KlaučoR. Paulen: Theory of Automatic Control I. Practice Examples, FCHPT STU v Bratislave, 2022.
  4. K. KišP. BakaráčM. Klaučo: Nearly Optimal Tunable MPC Strategies on Embedded Platforms. In 18th IFAC Workshop on Control Applications of Optimization, IFAC-PapersOnline, pp. 326–331, 2022.
  5. J. MiklešĽ. ČirkaJ. OravecM. Fikar: Design of H2 and Hinf control using Lyapunov functions (in Slovak), FCHPT STU v Bratislave, 2022.
  6. M. Mojto – K. Ľubušký – M. FikarR. 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
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