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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