- Číslo projektu:
- DS-FR-19-0031
- Názov projektu:
- Full-Authority Vehicle Control Strategy
- Grantová schéma:
- Dunajská stratégia 2019
- Typ projektu:
- Výskumné projekty APVV
- Začiatok projektu:
- 01.04.2020
- Koniec projektu:
- 31.12.2022
- Zodpovedný riešiteľ:
- Martin Klaučo
- Riešitelia:
- Matúš Furka, Karol Kiš, Michal Kvasnica
Joining their research backgrounds, the three involved research institutes will collaborate and exchange on developing and applying nonlinear optimal control methods (nonlinear model-predictive control formulations, estimation problems, parameter identification problems) to industrial application settings in the area of vehicle dynamics. Control tasks that have not been feasible before (e.g., highly-integrated nonlinear drive train optimization) seem feasible by extending and applying nonlinear explicit model-predictive control tools. When successful, these tools allow complex, nonlinear, constraint optimal control to be computed fast enough for realtime control on cheap hardware.
Publikácie
2022
- D. Efremov – M. Klaučo – T. Haniš: Driving Envelope: On Vehicle Stability Through Tire Capacities. V IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE, str. 1188–1193, 2022.
2021
- D. Efremov – T. Haniš – M. Klaučo: Haptic Driver Guidance for Lateral Driving Envelope Protection Using Model Predictive Control. V IEEE Intelligent Vehicles Symposium, IEEE Xplore, Las Vegas, NV, USA, USA, 2021.
- M. Furka – K. Kiš – P. Bakaráč – M. Klaučo: Nonlinear MPC Policy for Systems with Data Driven Identification. V Proceedings of the 7th IFAC Conference on Nonlinear Model Predictive Control, IFAC-PapersOnline, č. 54, 2021.
- K. Kiš – M. Klaučo – M. Kvasnica: Explicit MPC in the form of Sparse Neural Networks. Editor(i): R. Paulen and M. Fikar, V Proceedings of the 23rd International Conference on Process Control, IEEE, Slovak University of Technology, str. 163–168, 2021.
Riešitelia
Zodpovednosť za obsah: doc. Ing. MSc. Martin Klaučo, PhD.
Posledná aktualizácia:
11.05.2020 15:51