Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects

被引：190

作者：

Zhang, Wenbing ^{[1
]}

Tang, Yang ^{[2
,3
]}

Miao, Qingying ^{[4
]}

Du, Wei ^{[5
]}

机构：

[1] Yangzhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China

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

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

[4] Shanghai Jiao Tong Univ, Sch Continuing Educ, Shanghai 200240, Peoples R China

[5] Hong Kong Polytech Univ, Inst Text & Clothing, Hong Kong, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2013年 / 24卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Coupled switched neural networks (SNNs); exponential synchronization; mode-dependent impulsive effects; DISTRIBUTED DELAYS; DYNAMICAL NETWORKS; SYSTEMS; STABILITY; DISCRETE; ARRAY;

D O I：

10.1109/TNNLS.2013.2257842

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 investigates the synchronization problem of coupled switched neural networks (SNNs) with mode-dependent impulsive effects and time delays. The main feature of mode-dependent impulsive effects is that impulsive effects can exist not only at the instants coinciding with mode switching but also at the instants when there is no system switching. The impulses considered here include those that suppress synchronization or enhance synchronization. Based on switching analysis techniques and the comparison principle, the exponential synchronization criteria are derived for coupled delayed SNNs with mode-dependent impulsive effects. Finally, simulations are provided to illustrate the effectiveness of the results.

引用

页码：1316 / 1326

页数：11

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