Data-Driven Design of Switching Reference Governors for Brake-by-Wire Applications
Abstract
Nowadays, data are ubiquitous in control design and data-driven approaches are in constant evolution. By following such a trend, in this paper we propose an approach for the direct data-driven design of switching reference governors for nonlinear plants and we apply it within a brake-by-wire application. The braking system is assumed to be pre-stabilized via a simple unknown controller attaining unsatisfactory performance in terms of output tracking and actuator effort. Hence, the reference governor is used to improve the overall closed-loop behavior, resulting into safer maneuvering. Preliminary results on a simulation setup show the effectiveness of the proposed strategy, thus motivating further investigation on the topic.
Cite
Text
Sassella et al. "Data-Driven Design of Switching Reference Governors for Brake-by-Wire Applications." Proceedings of the 3rd Conference on Learning for Dynamics and Control, 2021.Markdown
[Sassella et al. "Data-Driven Design of Switching Reference Governors for Brake-by-Wire Applications." Proceedings of the 3rd Conference on Learning for Dynamics and Control, 2021.](https://mlanthology.org/l4dc/2021/sassella2021l4dc-datadriven/)BibTeX
@inproceedings{sassella2021l4dc-datadriven,
title = {{Data-Driven Design of Switching Reference Governors for Brake-by-Wire Applications}},
author = {Sassella, Andrea and Breschi, Valentina and Formentin, Simone},
booktitle = {Proceedings of the 3rd Conference on Learning for Dynamics and Control},
year = {2021},
pages = {99-110},
volume = {144},
url = {https://mlanthology.org/l4dc/2021/sassella2021l4dc-datadriven/}
}