EXISTENCE AND EXPONENTIAL STABILITY OF ANTI-PERIODIC SOLUTIONS IN CELLULAR NEURAL NETWORKS WITH TIME-VARYING DELAYS AND IMPULSIVE EFFECTS

被引：0

作者：

Xu, Changjin ^{[1
]}

机构：

[1] Guizhou Univ Finance & Econ, Sch Math & Stat, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Peoples R China

来源：

ELECTRONIC JOURNAL OF DIFFERENTIAL EQUATIONS | 2016年

基金：

中国国家自然科学基金;

关键词：

Cellular neural network; anti-periodic solution; impulse; exponential stability; time-varying delay; CONTINUOUSLY DISTRIBUTED DELAYS; BOUNDARY-VALUE-PROBLEMS; DIFFERENTIAL-EQUATIONS; PERIODIC-SOLUTIONS; SCALES; OSCILLATION;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this article we study a cellular neural network with impulsive effects. By using differential inequality techniques, we obtain verifiable criteria on the existence and exponential stability of anti-periodic solutions. An example is included to illustrate the feasibility and of our main results.

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页数：14

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