Project number:
APVV SK-FR-2019-0004
Title of the project:
Fr-Sk Cooperation: Optimal design and control of processes
Grant scheme:
APVV SK-FR
Project type:
Cooperations
Project duration (start):
01.02.2020
Project duration (end):
31.12.2022
Principal investigator:
Radoslav Paulen
Investigators:
Miroslav Fikar, Martin Mojto, Carlos E. Valero

Partners

  • Slovak University of Technology in Bratislava, Faculty of Chemical and Food Technology, Department of Inform. Eng. and Process Control (R. Paulen, M. Fikar, C. Valero, M. Mojto)
  • Institut National Polytechnique de Lorraine (INPL) - Ecole Nationale Supérieure des Industries Chimiques (ENSIC) (M. A. Latifi, F. Lesage, Alexis Courtais, Fatima Mtamoros Marin)

Annotation

The goal of this project is to enhance the cooperation of scientists who share common research interests in the development and application of advanced algorithms for design and control algorithms for dynamic systems in order to achieve greater energy- and material efficiency as well as safety of chemical production sites. The research team consists of students and professors with backgrounds in mathematics, process control and engineering. The scientific goals of the cooperation are to develop methodologies for shape optimization of production plants, effective parameter and state estimation of nonlinear dynamic systems, and techniques of optimal control. Software implementations will be delivered as a part of this project. Moreover, this project aims at a demonstration of the developed tools by applying them to laboratory chemical process systems, membrane filtration system and distillation column.

Publications

2023

  1. 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
  2. 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
  3. M. Mojto – K. Ľubušký – M. FikarR. Paulen: Data-Based Design of Multi-Model Inferential Sensors. Computers & Chemical Engineering, vol. 178, 2023.   arXiv   Zenodo
  4. 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. M. Mojto – K. Ľubušký – M. FikarR. Paulen: Data-based Design of Inferential Sensors for an Industrial Depropanizer Column with Data Pre-treatment Analysis. Editor(s): Mário Mihaľ, In 48th International Conference of the Slovak Society of Chemical Engineering SSCHE 2022 and Membrane Conference PERMEA 2022, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 200, 2022.
  2. M. Mojto – K. Ľubušký – M. FikarR. Paulen: Support Vector Machine-based Design of Multi-model Inferential Sensors. Editor(s): Ludovic Montastruc, Stephane Negny, In 32nd European Symposium on Computer Aided Process Engineering, Elsevier, no. 1, vol. 32, pp. 1045–1050, 2022.
  3. 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

2021

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

Investigators

2020

  1. Miroslav Fikar
  2. Martin Mojto
  3. Radoslav Paulen
  4. Carlos E. Valero

2021

  1. Miroslav Fikar
  2. Martin Mojto
  3. Radoslav Paulen
  4. Carlos E. Valero

Responsibility for content: doc. Ing. Radoslav Paulen, PhD.
Last update: 19.03.2020 10:27
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