Event-Based Fuzzy Adaptive Fault-Tolerant Control for a Class of Nonlinear Systems

This paper presents a novel event-triggered adaptive fuzzy fault-tolerant control approach for a class of uncertain nonlinear systems without the requirement for the online fault estimation. The main objective is to guarantee the stability of the faulty systems consuming less communication resources. Different from the existing results, a specific event-trigger error is designed, which is expected to reduce the amount of communications further. The generalized fuzzy hyperbolic model is employed to approximate the ideal fault-tolerant control policy in the framework of event-based sampled-data control. Based on the stability theory for nonlinear impulsive dynamical systems, the fuzzy adaptive control policy with a novel event-based weight update law is proposed to guarantee the stability of the closed-loop faulty system. In addition, the existence of a positive lower bound of the interevent interval is ensured to avoid the Zeno phenomenon. Finally, the simulation results are provided to show the effectiveness and better performance of the proposed scheme.