Finite-Time Fuzzy Adaptive Control for Nonlinear Systems With Asymmetric Dead-Zone and Actuator Faults and via an Event-Triggered Mechanism

This study focuses on adaptive fuzzy finite-time control for nonstrict-feedback nonlinear systems afflicted with actuator faults and asymmetric dead-zone, utilizing an event-triggered approach. Fuzzy logic systems are used to approximate the system's unknown terms. A relative threshold event-triggering mechanism is devised to reduce communication requirements. This mechanism ensures that the actuator only receives system input when a significant event occurs, thereby optimizing control efficiency. The proposed strategy integrates event-triggered adaptive fuzzy control with the backstepping method to achieve finite-time stability. This approach guarantees that the tracking error converges to a region near the origin, and ensures semiglobal practical finite-time stability for all signals within the closed-loop system. A numerical example and a real-world example of a pendulum system are used to illustrate the efficacy of the control approach.