DocumentCode :
2718031
Title :
An H approach to adaptive controller of T-S fuzzy model
Author :
Han, Hugang
Author_Institution :
Fac. of Manage. & Inf. Syst., Prefectural Univ. of Hiroshima, Hiroshima, Japan
fYear :
2010
fDate :
8-10 Sept. 2010
Firstpage :
95
Lastpage :
100
Abstract :
In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model is considered in the context of control system design. As a result, an H approach to adaptive controller that consists of two parts: one is obtained by solving certain linear matrix inequalities (LMIs) (fixed part) and another one is acquired by the fuzzy approximator in which the related parameters are tuned by adaptive law (variable part), is proposed. The proposed controller can guarantee the control state to converge and uniformly bounded while maintaining all the signals involved stable.
Keywords :
H control; adaptive control; control system synthesis; fuzzy control; linear matrix inequalities; H approach; LMI; T-S fuzzy model; adaptive controller; adaptive law; control state; control system design; fuzzy approximator; linear matrix inequalities; reconstruction error; Adaptation model; Approximation methods; Control systems; Fuzzy systems; Mathematical model; Stability analysis; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control (ISIC), 2010 IEEE International Symposium on
Conference_Location :
Yokohama
ISSN :
2158-9860
Print_ISBN :
978-1-4244-5360-3
Electronic_ISBN :
2158-9860
Type :
conf
DOI :
10.1109/ISIC.2010.5612910
Filename :
5612910
Link To Document :
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