Decentralized fuzzy controller for nonlinear interconnected systems with missing measurements

Author

Koo, Geun Bum ; Park, Jin Bae ; Joo, Young Hoon ; Kim, Se Jin

Author_Institution

Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea

fYear

2009

Firstpage

240

Lastpage

244

Abstract

This paper discusses the decentralized fuzzy control technique for the stochastic stability of nonlinear interconnected systems with missing measurements. We develop the fuzzy subsystem of the interconnected system by using the Takagi-Sugeno (T-S) fuzzy model and design the decentralized fuzzy controller for stochastic stability. To guarantee the sufficient condition of stability, we use Lyapunov stability theorem. Its constructive condition is expressed as the linear matrix inequality (LMI). An example is given to show the verification discussed throughout the paper.

Keywords

Lyapunov methods; decentralised control; fuzzy control; interconnected systems; linear matrix inequalities; nonlinear control systems; stability; stochastic systems; Lyapunov stability theorem; Takagi-Sugeno fuzzy model; decentralized fuzzy controller design; linear matrix inequality; missing measurement; nonlinear interconnected system; stochastic stability; Control systems; Fuzzy control; Fuzzy systems; Interconnected systems; Lyapunov method; Nonlinear control systems; Stability; Stochastic systems; Sufficient conditions; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on

Conference_Location

Jeju Island

ISSN

1098-7584

Print_ISBN

978-1-4244-3596-8

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2009.5277413

Filename

5277413