Stability of periodic solutions of periodic cellular neural networks with delays and impulsive perturbations

被引：0
|
作者：
Wang, Kaihua [1 ]
Sun, Yushu [1 ]
Gui, Zhanji [2 ]
机构：
[1] Hainan Normal Univ, Sch Math & Stat, Haikou 571158, Hainan, Peoples R China
[2] Hainan Coll Software Technol, Dept Software Engn, Qionghai 571400, Hainan, Peoples R China
来源：
PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017) | 2017年
关键词：
global asymptotical stability; Periodic solution; Delay; Impulsive; Cellular neural networks; TIME-VARYING DELAYS; EXPONENTIAL STABILITY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we consider the dynamics of an artificial periodic cellular neural networks with time delays and impulsive control. Sufficient conditions are obtained for the stability of a unique periodic solution. The results extend earlier ones where impulse is absent. Further, the influences of the impulsive effect are investigated by using computer simulation method. These results are helpful to design globally asymptotically stable and periodic oscillatory cellular neural networks with time delay and impulsive perturbations.
引用
收藏
页码：702 / 705
页数：4
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