Fuzzy robust decentralized control of nonlinear interconnected systems with parametric uncertainties

Author

Wang, Tao ; Tong, Shao-Cheng

Author_Institution

Dept. of Math. & Phys., Liaoning Inst. of Technol., Jin Zhou, China

Volume

2

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

851

Abstract

This paper addresses the problem of fuzzy robust decentralized control for a class of nonlinear large-scale systems in the presence of parametric uncertainties. The Takagi-Sugeno (T-S) fuzzy system is adopted for modeling such systems, and fuzzy state feedback decentralized controller is developed. Sufficient conditions are derived for robust stabilization and formulated in the format of linear matrix inequalities (LMIs). The effectiveness of the proposed fuzzy controller is finally demonstrated through numerical simulations on a two-machine interconnected system.

Keywords

decentralised control; fuzzy control; interconnected systems; linear matrix inequalities; nonlinear control systems; robust control; state feedback; Takagi-Sugeno fuzzy system; fuzzy robust decentralized control; linear matrix inequalities; nonlinear interconnected systems; nonlinear large-scale systems; parametric uncertainties; Distributed control; Fuzzy control; Fuzzy systems; Interconnected systems; Large-scale systems; Robust control; State feedback; Sufficient conditions; Takagi-Sugeno model; Uncertainty; Fuzzy large-scale systems; fuzzy T-S model; fuzzy controller; robust stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527062

Filename

1527062