Asymptotic stability analysis of Takagi-Sugeno fuzzy genetic regulatory networks with time-varying delays

被引：0

作者：

Song, Zhicheng ^{[1
]}

Zhang, Xian ^{[1
]}

Ji, Xiaoyu ^{[1
]}

机构：

[1] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Peoples R China

来源：

2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC) | 2014年

关键词：

COMPLEX CONTROL-SYSTEMS; ROBUST STABILITY; DESIGN; STABILIZATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper concerns the asymptotic stability for a class of fuzzy genetic regulatory networks which is described by the Takagi-Sugeno fuzzy model with time-varying delays. In this context, by using Lyapunov functional approach and employing delay-range partition techniques, an asymptotic stability criterion in the form of linear matrix inequalities is given, which can be solved numerically by any LMI solvers. A numerical example is given to verify the effect of our theory.

引用

页码：2482 / 2487

页数：6

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