Adaptive control of nonlinear systems using nonlinearly parameterized fuzzy approximator

Abstract

In this paper, the problem of globally stable adaptive fuzzy tracking control is addressed for a class of uncertain nonlinear systems in the canonical form. Instead of linearly parameterized fuzzy logic system (FLS), nonlinearly parameterized FLS is used to approximate the unknown nonlinear function. By combining the new parametrization of Gaussian membership function and the signal replacement approach, a novel adaptive fuzzy controller is designed. A simulation example is included to illustrate the effectiveness of the proposed approach.

3 Figures and Tables

Cite this paper

@article{Wang2014AdaptiveCO, title={Adaptive control of nonlinear systems using nonlinearly parameterized fuzzy approximator}, author={Maoli Wang and Zhengqiang Zhang and Shuzhen Zhang}, journal={Proceeding of the 11th World Congress on Intelligent Control and Automation}, year={2014}, pages={242-246} }