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