Decentralized control for a class of discrete-time fuzzy bilinear interconnected large-scale systems

Author

Chen Wenqing ; Zhang Guo ; Zhang Yanhua

Author_Institution

Dept. of Electr. Eng. & Autom., Luoyang Inst. of Sci. & Technol., Luoyang, China

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

5137

Lastpage

5140

Abstract

This paper presents the problem of decentralized feedback control for a class of discrete-time fuzzy bilinear interconnected large-scale systems. Based on the Lyapunov stability analysis theory and the parallel distribute compensation (PDC) scheme, some sufficient stabilization conditions are derived for the whole close-loop fuzzy interconnected systems. The V-K iteration method is employed to convert the corresponding decentralized fuzzy controller design into a convex optimization problem with linear matrix inequality (LMI) constraints..

Keywords

Lyapunov methods; closed loop systems; convex programming; decentralised control; discrete time systems; feedback; fuzzy control; interconnected systems; iterative methods; linear matrix inequalities; stability; LMI; Lyapunov stability; PDC scheme; V-K iteration method; close-loop fuzzy interconnected systems; convex optimization; decentralized feedback control; discrete-time fuzzy bilinear interconnected large-scale systems; linear matrix inequality; parallel distribute compensation; Fuzzy control; Interconnected systems; Large-scale systems; Linear matrix inequalities; Manganese; Nonlinear systems; Robustness; decentralized control; fuzzy bilinear interconnected system; linear matrix inequality (LMI);

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6853096

Filename

6853096