Synchronization in an array of nonidentical neural networks with leakage delays and impulsive coupling

Zhengxin Wang; Jinde Cao; Guanrong Chen; Xiaoyang Liu

doi:10.1016/j.neucom.2012.12.025

Synchronization in an array of nonidentical neural networks with leakage delays and impulsive coupling

Zhengxin Wang
, Jinde Cao
, Guanrong Chen
, Xiaoyang Liu

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

15 Citations (Scopus)

Abstract

This paper investigates robust and global exponential synchronizations in an array of nonidentical neural networks with leakage delays and impulsive coupling subject to parametric uncertainties. Some simpler sufficient conditions for synchronization are obtained when uncertainties vanish. A numerical example is given to illustrate the effectiveness of the theoretical results. © 2013 Elsevier B.V.

Original language	English
Pages (from-to)	177-183
Journal	Neurocomputing
Volume	111
DOIs	https://doi.org/10.1016/j.neucom.2012.12.025
Publication status	Published - 2 Jul 2013

Research Keywords

Impulsive coupling
Leakage delay
Neural network
Nonidentical nodes
Robust synchronization

Access Output

10.1016/j.neucom.2012.12.025

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{c94dd9cceb914a6c89fe765d852b261e,

title = "Synchronization in an array of nonidentical neural networks with leakage delays and impulsive coupling",

abstract = "This paper investigates robust and global exponential synchronizations in an array of nonidentical neural networks with leakage delays and impulsive coupling subject to parametric uncertainties. Some simpler sufficient conditions for synchronization are obtained when uncertainties vanish. A numerical example is given to illustrate the effectiveness of the theoretical results. {\textcopyright} 2013 Elsevier B.V.",

keywords = "Impulsive coupling, Leakage delay, Neural network, Nonidentical nodes, Robust synchronization",

author = "Zhengxin Wang and Jinde Cao and Guanrong Chen and Xiaoyang Liu",

year = "2013",

month = jul,

day = "2",

doi = "10.1016/j.neucom.2012.12.025",

language = "English",

volume = "111",

pages = "177--183",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Synchronization in an array of nonidentical neural networks with leakage delays and impulsive coupling

AU - Wang, Zhengxin

AU - Cao, Jinde

AU - Chen, Guanrong

AU - Liu, Xiaoyang

PY - 2013/7/2

Y1 - 2013/7/2

N2 - This paper investigates robust and global exponential synchronizations in an array of nonidentical neural networks with leakage delays and impulsive coupling subject to parametric uncertainties. Some simpler sufficient conditions for synchronization are obtained when uncertainties vanish. A numerical example is given to illustrate the effectiveness of the theoretical results. © 2013 Elsevier B.V.

AB - This paper investigates robust and global exponential synchronizations in an array of nonidentical neural networks with leakage delays and impulsive coupling subject to parametric uncertainties. Some simpler sufficient conditions for synchronization are obtained when uncertainties vanish. A numerical example is given to illustrate the effectiveness of the theoretical results. © 2013 Elsevier B.V.

KW - Impulsive coupling

KW - Leakage delay

KW - Neural network

KW - Nonidentical nodes

KW - Robust synchronization

UR - https://www.scopus.com/pages/publications/84876735549

UR - https://www.scopus.com/pages/publications/84876735549#tab=impact

U2 - 10.1016/j.neucom.2012.12.025

DO - 10.1016/j.neucom.2012.12.025

M3 - RGC 21 - Publication in refereed journal

SN - 0925-2312

VL - 111

SP - 177

EP - 183

JO - Neurocomputing

JF - Neurocomputing

ER -

Synchronization in an array of nonidentical neural networks with leakage delays and impulsive coupling

Abstract

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this