2012
DOI: 10.1007/978-3-642-27579-1_50
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A Reinforcement Learning Modular Control Architecture for Fully Automated Vehicles

Abstract: 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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Cited by 3 publications
(1 citation statement)
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“…In particular, the article [78] has proposed reinforcement learning control. The works [79]- [81] have discussed diverse control allocation approaches.…”
Section: X+y+z-integration Classmentioning
confidence: 99%
“…In particular, the article [78] has proposed reinforcement learning control. The works [79]- [81] have discussed diverse control allocation approaches.…”
Section: X+y+z-integration Classmentioning
confidence: 99%