Exponential stability of periodic solutions for cellular neural networks with S-type distributed delays

被引：0

作者：

Bao, Shuping ^{[1
]}

机构：

[1] Qingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

Cellular neural networks; Exponential stability; Coincidence degree theory; Distributed delays;

D O I：

10.1109/CCDC.2008.4597856

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

hi this paper, cellular neural networks with variable coefficients and S-type distributed delays are considered. Sufficient conditions for the existence and exponential stability of the periodic solutions are established by using the coincidence degree theorem and differential inequality technique.

引用

页码：2908 / 2913

页数：6

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