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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