DocumentCode :
14936
Title :
LMI condition for sampled-data fuzzy control of nonlinear systems
Author :
Geun Bum Koo ; Jin Bae Park ; Young Hoon Joo
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
Volume :
51
Issue :
1
fYear :
2015
fDate :
1 8 2015
Firstpage :
29
Lastpage :
31
Abstract :
A novel linear matrix inequality (LMI) condition for the stability of the sampled-data fuzzy control system based on the Takagi-Sugeno fuzzy model is presented. Using the novel Lyapunov functional, the relaxed stability condition is presented for the sampled-data fuzzy control and represented in the LMI format. A simulation example is provided to verify the effectiveness of the proposed technique.
Keywords :
Lyapunov methods; fuzzy control; linear matrix inequalities; nonlinear control systems; sampled data systems; stability; LMI condition; Lyapunov functional; T-S fuzzy model; Takagi-Sugeno fuzzy model; linear matrix inequality condition; nonlinear systems; relaxed stability condition; sampled-data fuzzy control system;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2014.3669
Filename :
7006837
Link To Document :
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