DocumentCode :
723997
Title :
Hankel-norm model reduction for delayed fuzzy systems
Author :
Hongying Zhou ; Xiaojie Su ; Yong-Duan Song ; Qiulin Yan
Author_Institution :
Coll. of Autom., Chongqing Univ., Chongqing, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
964
Lastpage :
968
Abstract :
The problem of Hankel-norm model reduction is investigated for the T-S fuzzy system with time-varying delays. Our key work is to construct the reduced-order model based on a given stable system, which approximates the original system well in a specified Hankel-norm performance. On the basis of the reciprocally convex approach, an asymptotically stable condition is proposed for the corresponding error system with a Hankel-norm error performance. Then, the reduced-order model is obtained by utilizing the projection approach, which converts the model reduction into a sequential minimization problem subject to linear matrix inequality constraints.
Keywords :
asymptotic stability; delay systems; fuzzy systems; linear matrix inequalities; minimisation; reduced order systems; time-varying systems; Hankel-norm model reduction; T-S fuzzy system; asymptotic stability condition; delayed fuzzy systems; error system; linear matrix inequality constraints; projection approach; reciprocal convex approach; reduced-order model; sequential minimization problem; time-varying delays; Approximation methods; Asymptotic stability; Delays; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Reduced order systems; Model Reduction; T-S Fuzzy System; Time Delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162058
Filename :
7162058
Link To Document :
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