Title :
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
fDate :
May 31 2014-June 2 2014
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);
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6853096
