Indirect model reference adaptive fuzzy control of dynamic fuzzy-state space model

Author

Cho, Y.-W. ; Park, C.-W. ; Kim, J.-H. ; Park, M.

Author_Institution

Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea

Volume

148

Issue

4

fYear

2001

fDate

7/1/2001 12:00:00 AM

Firstpage

273

Lastpage

282

Abstract

A parameter estimator is developed for a plant that can be represented by a dynamic fuzzy-state space model. The essential idea behind an online estimation is the comparison of the measured state with that of an estimation model whose structure is the same as that of the parametrized model. Based on the parameter estimation scheme, an indirect model reference adaptive fuzzy control scheme is proposed to provide asymptotic tracking of a reference signal for systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal

Keywords

closed loop systems; feedback; fuzzy control; model reference adaptive control systems; parameter estimation; state-space methods; time-varying systems; uncertain systems; asymptotic tracking; closed-loop system; feedback; fuzzy control; model reference adaptive fuzzy control; parameter estimation; state space model; time-varying systems; uncertain systems;

fLanguage

English

Journal_Title

Control Theory and Applications, IEE Proceedings -

Publisher

iet

ISSN

1350-2379

Type

jour

DOI

10.1049/ip-cta:20010355

Filename

948363