Číslo projektu:

APVV SK-FR-2019-0004

Názov projektu:

Fr-Sk kooperácia: Optimálny návrh a riadenie procesov

Grantová schéma:

APVV SK-FR

Typ projektu:

Kooperácie

Začiatok projektu:

01.02.2020

Koniec projektu:

31.12.2022

Zodpovedný riešiteľ:

Radoslav Paulen

Riešitelia:

Miroslav Fikar, Martin Mojto, Carlos E. Valero

2023

1. 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
2. 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
3. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, zv. 178, 2023.   arXiv   Zenodo
4. 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. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based Design of Inferential Sensors for an Industrial Depropanizer Column with Data Pre-treatment Analysis. Editor(i): Mário Mihaľ, V 48th International Conference of the Slovak Society of Chemical Engineering SSCHE 2022 and Membrane Conference PERMEA 2022, Slovak Society of Chemical Engineering, Bratislava, SK, str. 200, 2022.
2. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Support Vector Machine-based Design of Multi-model Inferential Sensors. Editor(i): Ludovic Montastruc, Stephane Negny, V 32nd European Symposium on Computer Aided Process Engineering, Elsevier, č. 1, zv. 32, str. 1045–1050, 2022.
3. 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

2021

1. M. Fikar – M. Furka – M. Horváthová – K. Kiš – M. Mojto: Dynamic Optimisation Toolbox dynopt 5.0. Editor(i): R. Paulen and M. Fikar, V Proceedings of the 23rd International Conference on Process Control, IEEE, Slovak University of Technology, str. 296–301, 2021.
2. M. Mateáš – R. Paulen: Optimal Experiments via Sequential and Two-stage Designs. Editor(i): R. Paulen, M. Fikar and J. Oravec, V Proceedings of the 23rd International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, str. 47–47, 2021.
3. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data Treatment of Industrial Measurements: From Online to Inferential Sensors. Editor(i): R. Paulen, M. Fikar and J. Oravec, V Proceedings of the 23rd International Conference on Process Control - Summaries Volume, Slovak Chemical Library, Slovak University of Technology in Bratislava, Radlinského 9, SK812-37, Bratislava, Slovakia, str. 52–53, 2021.
4. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based Industrial Soft-sensor Design via Optimal Subset Selection. Editor(i): Metin Türkay, Rafiqul Gani, V 31st European Symposium on Computer Aided Process Engineering, Elsevier, zv. 31, str. 1247–1252, 2021.
5. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Data-based design of inferential sensors for petrochemical industry. Computers & Chemical Engineering, zv. 153, str. 107437, 2021.   arXiv
6. C. E. Valero – R. Paulen: Set-membership State Estimation for a Continuous Stirred-Tank Reactor. V 9th International Conference on Systems and Control, 2021.