Robust fuzzy sampled event-triggered control for enhancing vehicle stability and maneuverability
Résumé
This work addresses the event-triggered direct yaw control for enhancing vehicle stability and handling during critical maneuvers. To improve the controller robustness, two key aspects have been considered: nonlinearities of cornering forces and road friction variation. A sampled event-triggered scheme is proposed in order to save communication and energy resources. Furthermore, LMI-based sufficient conditions are designed for reference model tracking fuzzy control with asynchronous premise variables. The effectiveness of the proposed method is illustrated on Carsim software.