Hankel-norm Model Reduction for Delayed Fuzzy Systems

被引：0

作者：

Zhou, Hongying ^{[1
]}

Su, Xiaojie ^{[1
]}

Song, Yong-Duan ^{[1
]}

Yan, Qiulin ^{[1
]}

机构：

[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China

来源：

2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年

关键词：

Model Reduction; T-S Fuzzy System; Time Delay;

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：

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.

引用

页码：964 / 968

页数：5

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