Control of Takagi-Sugeno fuzzy systems via feedback linearization

Author

Ying, Hao

Author_Institution

Dept. of Physiol. & Biophys., Texas Univ., Galveston, TX, USA

Volume

4

fYear

1997

fDate

12-15 Oct 1997

Firstpage

3188

Abstract

Takagi-Sugeno (TS) fuzzy modeling technique, a black-box discrete-time approach for system identification, has widely been used to model behaviors of complex dynamic systems. We first prove that a class of TS fuzzy systems is nonlinear time-varying ARX (Auto-Regressive with the Extra input). We then develop a feedback linearization technique for systematically designing an output tracking controller so that output of a controlled TS fuzzy system achieves perfect tracking of any bounded time-varying trajectory

Keywords

control system synthesis; discrete time systems; feedback; fuzzy control; fuzzy systems; identification; linearisation techniques; nonlinear control systems; time-varying systems; Auto-Regressive with the Extra input; TS fuzzy systems; Takagi-Sugeno fuzzy systems; black-box discrete-time approach; complex dynamic systems; feedback linearization; fuzzy control; fuzzy modeling technique; nonlinear time-varying ARX; output tracking controller design; system identification; time-varying trajectory tracking; Control systems; Fuzzy systems; Linear feedback control systems; Linearization techniques; Nonlinear dynamical systems; Output feedback; System identification; Takagi-Sugeno model; Time varying systems; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.633088

Filename

633088