Project number:

APVV-24-0007

Title of the project:

Robust Optimal Control of Processes

Grant scheme:

APVV VV 2025

Project type:

APVV Research Projects

Project duration (start):

01.09.2025

Project duration (end):

31.08.2028

Principal investigator:

Miroslav Fikar

Investigators:

Mehmet Arıcı, Lenka Galčíková, Juraj Holaza, Gyula Kurucz, Juraj Oravec, Erika Plšičík Pavlovičová, Sofiia Serhiienko, Jozef Vargan

2026

1. P. Arbetová – R. Fáber – K. Ľubušký – R. Paulen: A Practical Approach to Anomaly Detection in Industrial Data. In 52nd International Conference of the Slovak Society of Chemical Engineering, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, pp. 161–161, 2026.
2. R. Fáber – K. Ľubušký – R. Paulen: A Simplified Framework for Process Model Development in Industrial Simulation Environments. In 52nd International Conference of the Slovak Society of Chemical Engineering, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, pp. 162–162, 2026.
3. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Data-based multi-fidelity modeling for online sensors correction. Computers & Chemical Engineering, 2026, Volume 211, vol. 211, pp. 109665, 2026.   Zenodo
4. J. Gaborčík – K. Ľubušký – R. Paulen: Data Reconciliation for Inventory Monitoring in a Petrol Refinery. In Systems and Control Transactions, vol. 5, pp. 2505–2510, 2026.
5. M. Horváthová – K. Kiš – M. Klaučo – J. Oravec: Supervised learning for robust predictive control: Safe and tunable approach. Neurocomputing, no. 132637, vol. 671, pp. 132637, 2026.
6. Y. Jiang – K. Fedorová – R. Schwan – J. Oravec – C. Jones: Distributed Real-Time Cooperative Model Predictive Control. IEEE Transactions on Automatic Control, pp. 1–8, 2026.
7. A. Lohani – A. Fedor – J. Kurucz – R. Paulen: Real-Time Estimation and Optimal Control of Supersaturation in Sugar Crystallization using Model-based Soft Sensor. In Systems and Control Transactions, vol. 5, pp. 2497–2504, 2026.
8. E. Plšičík Pavlovičová – L. Galčíková – J. Holaza – J. Oravec: Real-time tunable rigid tube MPC using implicit formulation. Journal of Process Control, vol. 163, 2026.
9. J. Vargan – K. Ľubušký – M. Fikar – M. A. Latifi: Modelling and Parameter Estimation of Propylene Polymerisation Reactor: Industrial Case Study. In Proceedings of the 36th European Symposium on Computer Aided Process Engineering, 2026.   Zenodo