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.

本文研究了线控车辆（SBWV）系统的事件触发自适应模糊有限时间控制问题。与以往文献研究的线控转向（SBW）系统不同，本研究提出的SBWV系统由车辆动力学模型和SBW系统组成，包含未知的非线性动力学。采用模糊逻辑系统（FLS）来识别未知的模型动态，并建立相对阈值事件触发机制以减少不必要的控制器更新。然后，利用有限时间稳定性概念和动态表面控制（DSC）设计方法的反步，提出了一种新的模糊有限时间自适应事件触发控制方案。事实证明，所提出的控制方案保证了闭环系统稳定，并且跟踪误差在有限时间间隔内收敛到零的小邻域。计算机仿真结果证明了所提出的模糊控制算法的有效性。