Model Reduction of T-S Fuzzy Systems with Time-Varying Delays

被引：0
|
作者：
Zhou Hongying [1 ]
Su Xiaojie [1 ]
Song Yongduan [1 ]
Liu Xinxin [1 ]
机构：
[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
来源：
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词：
T-S Fuzzy System; Time-Varying Delay; Model Reduction; MARKOVIAN JUMP SYSTEMS; CONTROLLER-DESIGN; INFINITY; STABILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the model approximation problem for the T-S fuzzy system with time-varying delays. For a given high-order system, the purpose is to obtain the reduced-order model which approximates the original one well with a prescribed error performance. Based on the reciprocally convex technique, a new asymptotic stability condition is proposed for the corresponding error system with a given error performance. Then, the reduced-order model is obtained on the basis of the projection approach, which transforms the model approximation into a sequential minimization problem subject to linear matrix inequality constraints by employing the cone complementary linearization algorithm.
引用
收藏
页码：1963 / 1966
页数：4
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