Existence and exponential stability of anti-periodic solutions for HCNNs with time-varying leakage delays

被引：28

作者：

Zhang, Aiping ^{[1
]}

机构：

[1] Hunan Univ Technol, Sch Sci, Zhuzhou 412000, Hunan, Peoples R China

来源：

ADVANCES IN DIFFERENCE EQUATIONS | 2013年

关键词：

high-order cellular neural networks; anti-periodic solution; exponential stability; time-varying delay; leakage term; BAM NEURAL-NETWORKS; TERMS;

D O I：

10.1186/1687-1847-2013-162

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper is concerned with a class of high-order cellular neural networks (HCNNs) model with time-varying delays in the leakage terms. By using the Lyapunov functional method and differential inequality techniques, we establish sufficient conditions on the existence and exponential stability of anti-periodic solutions for the model. Our results complement some recent ones.

引用

页数：14

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