Abstract
In this paper we describe a hybrid model and an optimization-based control strategy for solving a traction control problem currently under investigation at Ford Research Laboratories. We show through simulations on a model and a realistic set of parameters that good and robust performance is achieved. Furthermore, the resulting optimal controller is a piecewise linear function of the measurements that can be implemented on low cost control hardware.
Cite
CITATION STYLE
Borrelli, F., Bemporad, A., Fodor, M., & Hrovat, D. (2001). A hybrid approach to traction control. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2034, pp. 162–174). Springer Verlag. https://doi.org/10.1007/3-540-45351-2_16
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