DocumentCode :
1402951
Title :
Exponential mean-square stabilisation for non-linear systems: sampled-data fuzzy control approach
Author :
Koo, Geun Bum ; Park, Jin Bae ; Joo, Young Hoon
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
Volume :
6
Issue :
18
fYear :
2012
Firstpage :
2765
Lastpage :
2774
Abstract :
This study presents a sampled-data fuzzy control problem for non-linear systems with packet losses. A Takagi-Sugeno (T-S) fuzzy model is adopted for the non-linear systems and the packet loss is separately considered for the independent, identically distributed and Markovian cases. The sampled-data fuzzy controllers are designed for a T-S fuzzy model. Based on the closed-loop system, sufficient conditions are derived for the exponential mean-square stabilisation and formulated in terms of linear matrix inequalities. Finally, a numerical example is provided to verify the effectiveness of the proposed technique.
Keywords :
fuzzy control; linear matrix inequalities; mean square error methods; nonlinear systems; stability; T-S fuzzy model; Takagi-Sugeno fuzzy model; closed-loop system; exponential mean-square stabilisation; linear matrix inequalities; nonlinear systems; packet losses; sampled-data fuzzy control problem; sampled-data fuzzy controllers;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2012.0387
Filename :
6418265
Link To Document :
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