Project number:
AvH-1065182-SVK
Title of the project:
Embedded Optimal Control
Project type:
Cooperations
Project duration (start):
01.07.2017
Project duration (end):
30.06.2020
Principal investigator for STU:
Miroslav Fikar
Investigators:
Peter Bakaráč, Matúš Furka, Juraj Holaza, Martin Kalúz, Martin Klaučo, Michal Kvasnica, Juraj Oravec

Project Code: AvH-1065182-SVK

Partners:

  • Slovenská technická univerzita v Bratislave, Fakulta chemickej a potravinárskej technológie, Oddelenie informatizácie a riadenie procesov
  • Ruhr-Universität Bochum, Department of Automatic Control and Systems Theory, Faculty of Mechanical Engineering

Abstract:

The aim of the project supported by the Alexander von Humboldt Foundation is to establish research cooperation between the group of prof. M. Fikar, DrSc at Institute of Information Technology, Automation and Mathematics, Faculty of Food and Chemical Technology of the Slovak University of Technology (STU) in Bratislava (Slovakia) and the group of prof. Dr. M. Mönnigmann at Department of Automatic Control and Systems Theory, Faculty of Mechanical Engineering of the Ruhr-Universität Bochum (RUB). The cooperation will be focused on optimal model-based control and optimisation primarily targeted at embedded control systems. The group at STU is particularly strong at geometric techniques in explicit model predictive control (MPC) and in software development whereas the group at RUB excells in complexity reduction techniques of both explicit and on-line MPC. The main research idea of the project is to take advantage of the interdisciplinary communication and collaboration between specialists from both groups, foster new cooperation activities, and common European research projects. The project includes short-term visits mainly of young scientists from both groups, organisation as well as participation in conferences and lectures at partner groups.

Publications

2019

  1. K. Fedorová – P. BakaráčM. Kvasnica: Comparison of Two Approaches to Agile Manoeuvres via MPC. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  2. K. KišM. Klaučo: Neural Networks Trained as Explicit Tunable MPC Feedback Controllers. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  3. M. KlaučoM. Kvasnica: MPC-Based Reference Governors, Editor(s): M. J. Grimble, A. Ferrara, Springer, 2019.
  4. Y. Lohr – M. KlaučoM. Kalúz – M. Mönnigmann: Mimicking Predictive Control with Neural Networks in Domestic Heating Systems. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 19–24, 2019.
  5. M. Mojto – K. Ľubušký – R. PaulenM. Fikar: Advanced Process Control of a Depropanizer Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.

2018

  1. P. BakaráčM. KlaučoM. Fikar: Comparison of Inverted Pendulum Stabilization with PID, LQ, and MPC Control. Editor(s): J. Cigánek, Š. Kozák, A. Kozáková, In 2018 Cybernetics & Informatics (K&I), Slovak Chemical Library, Bratislava, Lazy pod Makytou, Slovakia, vol. 29, 2018.

Investigators


Responsibility for content: prof. Ing. Miroslav Fikar, DrSc.
Last update: 30.06.2017 7:51
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