Event-Triggered Adaptive Fuzzy Tracking Control for Nonlinear Systems

Abstract

In this paper, the problem of event-triggered adaptive fuzzy tracking control for nonlinear systems with external disturbance is explored. The fuzzy logic system method is utilized to design the event-triggered adaptive controller under two different event-triggered mechanisms to ensure that the tracking error converges to zero in any small neighborhood, and all the signals in the closed loop systems are bounded. In addition, two different ways are given to prove that the Zeno phenomenon will not occur. Finally, two simulation examples are given to demonstrate the validity of the proposed control scheme.