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
收藏
页码：59 / 63
页数：5
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