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, Carlos E. Valero

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, 2023.   Zenodo
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, vol. 178, 2023.   arXiv   Zenodo
11. J. Oravec – P. Bakaráč – E. Pavlovičová – M. Fikar: Smart Eco Greenhouse VESNA. In IFAC World Congress 2023, Yokohama, Japan, pp. 10295–10300, 2023.   Zenodo
12. 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.
13. 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.
14. 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), 2022.   Zenodo
2. M. Fikar – M. Klaučo – K. Kiš: A General Controller Tuning using Governors. 2022.
3. M. Fikar – M. Klaučo – R. Paulen: Theory of Automatic Control I. Practice Examples, FCHPT STU v Bratislave, 2022.
4. 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.
5. J. Mikleš – Ľ. Čirka – J. Oravec – M. Fikar: Design of H2 and Hinf control using Lyapunov functions (in Slovak), FCHPT STU v Bratislave, 2022.
6. 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