Adaptive wavelet network control design for nonlinear systems

Author

Chen, Bor-Sen ; Cheng, Yu-Min

Author_Institution

Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

3

fYear

1996

fDate

11-13 Dec 1996

Firstpage

3224

Abstract

An application of wavelet networks to control problems of nonlinear systems is investigated in this paper. A wavelet network is constructed as an alternative to a neural network to approximate a nonlinear system. Based on this wavelet network approximation, suitable adaptive control laws and appropriate parameter update algorithms for nonlinear uncertain (or unknown) systems are derived to achieve H_∞ tracking performance. It is shown that the effects of approximation errors and external disturbances can be attenuated to a specific attenuation level by the proposed adaptive wavelet network control scheme

Keywords

H^∞ control; MIMO systems; adaptive control; control system synthesis; feedback; function approximation; linearisation techniques; nonlinear systems; uncertain systems; H_∞ control; MIMO systems; adaptive control; approximation errors; disturbance attenuation; feedback linearization; nonlinear systems; tracking; uncertain systems; wavelet network; Adaptive control; Adaptive systems; Approximation algorithms; Approximation error; Control design; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.573635

Filename

573635