Adaptive fuzzy control for a class of discrete-time nonlinear systems

Author

Han, Hugang ; Su, Chun-Yi ; Murakami, Shuta

Author_Institution

Dept. of Inf. Sci., Hiroshima Prefectural Univ., Japan

Volume

2

fYear

2001

Firstpage

892

Abstract

An adaptive feedback control scheme for the tracking of a class of discrete-time nonlinear plants is presented. A fuzzy approximator is used to adaptively compensate for the plant nonlinearities. The fuzzy approximator´s parameters including nonlinear ones, are adapted using a Lyapunov-based design. The method uses a special approximation error expression, parameter projection, and variable structure control with a sector to achieve uniform ultimate boundedness.

Keywords

Lyapunov methods; adaptive control; asymptotic stability; closed loop systems; compensation; control system synthesis; discrete time systems; function approximation; fuzzy control; nonlinear control systems; variable structure systems; Lyapunov-based design; adaptive fuzzy control; approximation error; discrete-time nonlinear systems; fuzzy approximator; parameter projection; plant nonlinearities; uniform ultimate boundedness; variable structure control; Adaptive control; Adaptive systems; Application software; Control systems; Function approximation; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1009099

Filename

1009099