Stability and periodicity for impulsive neural networks with delays

被引：0
|
作者：
Yuanfu Shao
Qianhong Zhang
机构：
[1] Guilin University of Technology,College of Science
[2] Guizhou College of Finance and Economics,Guizhou Key Laboratory of Economics System
来源：
Advances in Difference Equations | / 2013卷
关键词：
periodicity; stability; impulsive; delays;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
By constructing a suitable Lyapunov functional and using some inequalities, we investigate the existence, uniqueness and global exponential stability of periodic solutions for a class of generalized cellular neural networks with impulses and time-varying delays. Finally, an illustrative example and simulations are given to show the effectiveness of the main results.
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