Stability of delayed neural networks with time-varying impulses

被引：79

作者：

Zhang, Wenbing ^{[1
]}

Tang, Yang ^{[2
,3
,4
]}

Fang, Jian-an ^{[1
]}

Wu, Xiaotai ^{[5
]}

机构：

[1] Donghua Univ, Sch Informat Sci & Technol, Shanghai 201620, Peoples R China

[2] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150080, Peoples R China

[3] Humboldt Univ, Inst Phys, D-12489 Berlin, Germany

[4] Potsdam Inst Climate Impact Res, D-14415 Potsdam, Germany

[5] Anhui Polytech Univ, Dept Math, Wuhu 241000, Anhui, Peoples R China

来源：

NEURAL NETWORKS | 2012年 / 36卷

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Time-varying impulses; Neural networks; Stability; GLOBAL EXPONENTIAL STABILITY; ROBUST STABILITY; ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS; DISCRETE; SYNCHRONIZATION; MULTISTABILITY; SYSTEMS;

D O I：

10.1016/j.neunet.2012.08.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper addresses the stability problem of a class of delayed neural networks with time-varying impulses. One important feature of the time-varying impulses is that both the stabilizing and destabilizing impulses are considered simultaneously. Based on the comparison principle, the stability of delayed neural networks with time-varying impulses is investigated. Finally, the simulation results demonstrate the effectiveness of the results. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：59 / 63

页数：5

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