Robust control for fuzzy interconnected systems

Author

Ge Yunwang ; Zhang Guo

Author_Institution

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

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

108

Lastpage

112

Abstract

This paper presents decentralized robust control for a class of nonlinear interconnected systems with T-S fuzzy bilinear model. Based on the Lyapunov stability analysis theory and the parallel distribute compensation scheme, some robust stabilization sufficient conditions are derived. The corresponding controller design is converted into a convex optimization problem with linear matrix inequality (LMI) constraints.

Keywords

Lyapunov methods; control system synthesis; convex programming; decentralised control; fuzzy control; interconnected systems; linear matrix inequalities; nonlinear control systems; robust control; Lyapunov stability analysis theory; T-S fuzzy bilinear model; controller design; convex optimization problem; decentralized robust control; fuzzy interconnected system; linear matrix inequality constraint; nonlinear interconnected system; parallel distribute compensation scheme; robust stabilization; Biological system modeling; Fuzzy control; Interconnected systems; Linear matrix inequalities; Nonlinear systems; Robust stability; Robustness; decentralized control; fuzzy bilinear model; linear matrix inequality (LMI); nonlinear interconnected system; robust stabilization;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-180-9

Type

conf

DOI

10.1109/FSKD.2011.6019608

Filename

6019608