Číslo projektu:

APVV-21-0019

Názov projektu:

Dátovo orientované procesné riadenie

Grantová schéma:

APVV-VV2021

Typ projektu:

Výskumné projekty APVV

Začiatok projektu:

01.07.2022

Koniec projektu:

30.06.2025

Zodpovedný riešiteľ:

Miroslav Fikar

Zástupca zodpovedného riešiteľa:

Radoslav Paulen

Riešitelia:

Diana Dzurková, Rastislav Fáber, Martin Kalúz, Karol Kiš, Martin Klaučo, Martin Mojto, Patrik Valábek, Carlos E. Valero, Jozef Vargan

2024

1. A. Ahmad – R. Paulen – R. Valo – M. Fikar – S. Engell: Iterative real-time optimization of a membrane pilot plant. Control Engineering Practice, zv. 147, str. 105907, 2024.   Zenodo
2. D. Efremov – T. Haniš – M. Klaučo: Vehicle and Wheels Stability Defined Using Driving Envelope Protection Algorithm. IEEE Transactions on Intelligent Transportation Systems, str. 1–13, 2024.
3. A. Maidi – R. Paulen – J. Corriou: Velocity control design of hyperbolic distributed parameter systems using zeroing dynamics and zeroing-gradient dynamics methods. Journal of Process Control, zv. 138, str. 103210, 2024.   Zenodo

2023

1. R. Dyrska – J. Müller – M. Fikar – M. Mönnigmann: Simple Controller Tuning for Unmanned Aerial Vehicles using Governors. Editor(i): R. Paulen and M. Fikar, V Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, str. 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. V 49th International Conference of the Slovak Society of Chemical Engineering SSCHE 2023, Slovak Society of Chemical Engineering, Bratislava, SK, str. 160–160, 2023.   Zenodo
3. R. Fáber – K. Ľubušký – R. Paulen: Machine Learning-based Classification of Online Industrial Datasets. Editor(i): R. Paulen and M. Fikar, V Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, str. 132–137, 2023.   Zenodo
4. M. Fikar – K. Kiš – M. Klaučo – M. Mönnigmann: Simple Tuning of Arbitrary Controllers using Governors. V IFAC World Congress 2023, Yokohama, Japan, str. 9109–9114, 2023.     Zenodo
5. 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
6. M. Horváthová – L. Galčíková – M. Klaučo – J. Oravec: Real-Time Optimisation-Based Robust Control: Heat Exchanger Comparative Analysis. V 62nd IEEE Conference on Decision and Control, IEEE, Singapore, str. 6535–6540, 2023.
7. M. Kalúz – R. Kohút – D. Dzurková: MPC-Mimicking Neural Network Based on Homomorphic Encryption. Editor(i): R. Paulen and M. Fikar, V Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, str. 126–131, 2023.   Zenodo
8. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Comparing Linear and Nonlinear Soft Sensor Approaches for Industrial Distillation Columns. V 49th International Conference of the Slovak Society of Chemical Engineering SSCHE 2023, Slovak Society of Chemical Engineering, Bratislava, SK, str. 159–159, 2023.   Zenodo
9. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Input Structure Selection for Soft-Sensor Design: Does It Pay Off?. Editor(i): R. Paulen and M. Fikar, V Proceedings of the 2023 24th International Conference on Process Control, IEEE, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia, str. 162–167, 2023.   Zenodo
10. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Driven Indication of Flooding in an Industrial Debutanizer Column. Editor(i): Antonis Kokossis, Michael C. Georgiadis, Efstratios N. Pistikopoulos, V 33rd European Symposium on Computer Aided Process Engineering, Elsevier, č. 1, zv. 33, str. 1001–1006, 2023.   Zenodo
11. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Design of Multi-Model Linear Inferential Sensors with SVM-based Switching Logic. V IFAC World Congress 2023, Yokohama, Japan, str. 2545–2550, 2023.     Zenodo
12. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, zv. 178, 2023.   arXiv   Zenodo
13. J. Oravec – P. Bakaráč – E. Pavlovičová – M. Fikar: Smart Eco Greenhouse VESNA. V IFAC World Congress 2023, Yokohama, Japan, str. 10295–10300, 2023.   Zenodo
14. M. Ružička – I. Helgeland – R. Paulen: Modelovanie procesu doprednej osmózy. V Membránové procesy pro udržitelný rozvoj - MEMPUR 2023, str. 35–36, 2023.
15. P. Valábek – M. Klaučo: Generation of MPC-like Explicit Control Laws with Reinforcement Machine Learning. Editor(i): R. Paulen and M. Fikar, V 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(i): R. Paulen and M. Fikar, V 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. V 2022 Cybernetics & Informatics (K&I), str. 1–6, 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. V 18th IFAC Workshop on Control Applications of Optimization, IFAC-PapersOnline, str. 326–331, 2022.
5. J. Mikleš – Ľ. Čirka – J. Oravec – M. Fikar: Návrh H2 a Hinf riadenia s využitím Ljapunovových funkcií, FCHPT STU v Bratislave, 2022.
6. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Multi-Model Soft-Sensor Design for a Depropanizer Distillation Column. V Advanced Process Modelling Forum 18-19 October 2022, 2022.   Zenodo