Adaptive fuzzy control for a class of uncertain nonlinear systems

Abstract

An adaptive fuzzy control method for a class of uncertain nonlinear systems is presented. In this method, the adaptive fuzzy supervisory controller and the adaptive fuzzy controller are designed by a fuzzy logic system, and an error compensator is designed to reduce the influence of the approximation error on tracking accuracy, meanwhile, the unknown parameters in the adaptive fuzzy supervisory controller and the adaptive fuzzy controller are adjusted adaptively. It is proved that this method can not only guarantee the stability of the closed-loop system, but also make the tracking error converge to the neighborhood of origin.