Adaptive Fuzzy Control for a Class of Nonlinear Systems using Small-gain Theorem

Author

Jiang, Haibo ; Zhang, Tianping ; Zhou, Caigen ; Yu, Jianjiang

Author_Institution

Dept. of Comput., Yangzhou Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

978

Lastpage

982

Abstract

The problem of adaptive fuzzy control for a class of nonlinear systems is studied in this paper. The T-S fuzzy model is employed to approximate the nonlinear unknown function. Based on the principle of supervisory control, a novel adaptive fuzzy control strategy with supervisory controller is developed. With the help of a supervisory controller, the resulting closed-loop system is globally stable in the sense that all signals involved are uniformly bounded. Finally, by input-to-state stability (ISS) approach and small-gain theorem, theoretical analysis verifies that tracking error converges to zero. Simulation results illustrate the effectiveness of the proposed approach

Keywords

adaptive control; closed loop systems; function approximation; fuzzy control; nonlinear control systems; stability; T-S fuzzy model; adaptive fuzzy control; closed-loop system; input-to-state stability approach; nonlinear systems; nonlinear unknown function approximation; small-gain theorem; supervisory control; Adaptive control; Control systems; Educational institutions; Fuzzy control; Intelligent control; Mathematics; Nonlinear systems; Programmable control; Stability analysis; Supervisory control; Input-to-State Stability (ISS); adaptive control; fuzzy control; nonlinear systems; small-gain theorem;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712490

Filename

1712490