Event-Triggered Adaptive Fuzzy Finite-Time Control for Steer-by-Wire Vehicle Systems

This paper investigates an event-triggered adaptive fuzzy finite-time control issue for the steer-by-wire vehicle (SBWV) systems. Different from the steer-by-wire (SBW) system studied by the previous literatures, the SBWV systems addressed by this study is composed of a vehicle dynamics model and a SBW system and contains the unknown nonlinear dynamics. Fuzzy logic systems (FLSs) are employed to identify the unknown model dynamics, and a relative threshold event-triggered mechanism is established to reduce unnecessary controller updates. Then, by using the finite-time stability concepts and the backstepping with dynamic surface control (DSC) design methodology, a new fuzzy finite-time adaptive event-triggered control scheme is proposed. It is proved that the proposed control scheme ensures the closed-loop system to be stable and the tracking error converges to a small neighborhood of zero within a finite-time interval. The computer simulation results are given to demonstrate the effectiveness of the proposed fuzzy control algorithm.