New stability criterion for delayed neural networks with impulses

被引：0
|
作者：
Shen, Jing [1 ]
Wan, Jian [1 ]
Li, Chuandong [1 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Comp, Hangzhou 310018, Peoples R China
来源：
ISND 2007: PROCEEDINGS OF THE 2007 INTERNATIONAL SYMPOSIUM ON NONLINEAR DYNAMICS, PTS 1-4 | 2008年 / 96卷
关键词：
D O I：
10.1088/1742-6596/96/1/012103
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper studies the exponential stability of impulsive delayed neural networks (IDNN). By employing the standard Lyapunov function and the modified Halanay inequalities, two new sufficient conditions guaranteeing the global exponential stability of the origin of IDNN are established. The proposed results characterize the effects of impulses, delay and the exponential convergence rate of the impulse-free DNN in an aggregated form.
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页数：5
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