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

Author

Mingli, Song ; Guo, Zhang

fYear

2011

fDate

23-25 May 2011

Firstpage

3097

Lastpage

3101

Abstract

This paper presents the problem of decentralized 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 cone complementarity linearization (CCL) algorithm is employed to convert the corresponding decentralized fuzzy controller design into a minimum problem with linear matrix inequality (LMI) constraints. Finally, a simulation example shows that the proposed approach is effective.

Keywords

Lyapunov methods; bilinear systems; closed loop systems; control system synthesis; decentralised control; discrete time systems; fuzzy systems; interconnected systems; Lyapunov stability analysis theory; close-loop fuzzy interconnected systems; cone complementarity linearization algorithm; decentralized control; discrete-time fuzzy bilinear interconnected large-scale systems; fuzzy controller design; parallel distribute compensation; stabilization conditions; Fuzzy control; Interconnected systems; Large-scale systems; Linear matrix inequalities; Nonlinear systems; Robustness; Stability analysis; cone complementarity linearization (CCL); decentralized control; discrete-time fuzzy bilinear interconnected large-scale system; linear matrix inequality (LMI);

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2011 Chinese

Conference_Location

Mianyang

Print_ISBN

978-1-4244-8737-0

Type

conf

DOI

10.1109/CCDC.2011.5968787

Filename

5968787