Synchronization of Coupled Switched Neural Networks with Time-Varying Delays

被引：6

作者：

He, Guang ^{[1
,2
]}

Fang, Jian-An ^{[1
]}

Li, Zhen ^{[1
]}

Wang, Xin ^{[3
]}

机构：

[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

[2] Anhui Polytech Univ, Dept Math, Wuhu 241000, Anhui, Peoples R China

[3] Zhejiang Text & Fash Coll, Sch Informat Engn, Ningbo 315211, Zhejiang, Peoples R China

来源：

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2015年 / 40卷 / 12期

关键词：

Coupled switched neural networks; Average dwell time; Exponential synchronization; Switching signals; GENETIC REGULATORY NETWORKS; DYNAMICAL NETWORKS; STABILITY ANALYSIS; EXPONENTIAL SYNCHRONIZATION; TOPOLOGY; ARRAY;

D O I：

10.1007/s13369-015-1812-9

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, the exponential synchronization problem of delayed coupled switched neural networks with individual node and network topology switching is investigated. By using the matrix decomposing approach and the switched system comparison principle, several synchronization criteria for such complex dynamical networks are obtained. Firstly, under the assumption that all subnetworks are self-synchronized, a sufficient condition is derived in terms of an algebraic inequality. Then, when some subnetworks are not self-synchronized, based on the maximal dwell time length, the exponential synchronization criteria are given in terms of algebraic inequalities. Finally, examples are provided to illustrate the effectiveness of the theoretical results.

引用

页码：3759 / 3773

页数：15

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