Robust Adaptive Fuzzy Control for a Class of Nonlinear Systems

Abstract

A stable adaptive fuzzy control methods is proposed for multiple-input multiple-output uncertain nonlinear systems. The adaptive law utilizes two type of errors in the adaptive fuzzy systems, the tracking error and approximation error. This control law is applied to a two link robot manipulator, and simulation results show its validity.