Abstract
This paper proposes a modular and generic architecture to deal with Global Chassis Control. Reinforcement learning is coupled with intelligent PID controllers and an optimal tire effort allocation algorithm to obtain a general, robust, adaptable, efficient and safe control architecture for any kind of automated wheeled vehicle.
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Villagrá, J. et al. (2012). A Reinforcement Learning Modular Control Architecture for Fully Automated Vehicles. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_50
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DOI: https://doi.org/10.1007/978-3-642-27579-1_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27578-4
Online ISBN: 978-3-642-27579-1
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