DocumentCode :
640966
Title :
Reducing conservativeness in stability conditions of affine fuzzy systems using fuzzy Lyapunov function
Author :
Dae Young Kim ; Jin Bae Park ; Young Hoon Joo
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2013
fDate :
7-10 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents the relaxed stability condition for the affine fuzzy system using the fuzzy Lyapunov function which is the Lyapunov function with the membership function. Based on Lyapunov-stability theory, the relaxed stability condition for the affine fuzzy system is derived and represented to linear matrix inequalities(LMIs) with added null product term. Slack matrix variables are considered to analyze further relaxed stability condition. Finally, a simulation example is given to illustrate the merits of the proposed methods.
Keywords :
Lyapunov methods; fuzzy systems; linear matrix inequalities; stability; LMI; Lyapunov-stability theory; affine fuzzy systems; conservativeness reduction; fuzzy Lyapunov function; linear matrix inequalities; membership function; null product term; relaxed stability condition; slack matrix variables; Analytical models; Fuzzy systems; Lyapunov methods; Numerical stability; Stability criteria; Symmetric matrices; Affine fuzzy system; fuzzy Lyapunov function; linear matrix inequality (LMI); slack variable; stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
ISSN :
1098-7584
Print_ISBN :
978-1-4799-0020-6
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2013.6622411
Filename :
6622411
Link To Document :
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