Exponential Stability of Neural Networks with Time-Varying Delays and Impulses

被引：0
|
作者：
Akca, Haydax [1 ]
Covachev, Valery [2 ,3 ]
Altmayer, Kumud Singh [4 ]
机构：
[1] United Arab Emirates Univ, Fac Sci, Dept Math Sci, POB 17551, Al Ain, U Arab Emirates
[2] Sultan Qaboos Univ, Coll Sci, Dept Math & Stat, Muscat 123, Oman
[3] Bulgarian Acad Sci, Inst Math, Sofia 1113, Bulgaria
[4] Philander Smith Coll, Dept Math & Phys Sci, Little Rock, AR 72202 USA
来源：
SIXTH INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS (ISNN 2009) | 2009年 / 56卷
关键词：
Neural networks; delays; impulses; stability;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present sufficient conditions for the uniqueness and exponential stability of equilibrium points of impulsive neural networks which are a generalization of Cohen-Grossberg neural networks.
引用
收藏
页码：153 / +
页数：3
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