Impulsive pinning synchronization of stochastic discrete-time networks

Yang Tang; S. Y.S. Leung; Wai Keung Wong; Jian an Fang

doi:10.1016/j.neucom.2010.02.010

Impulsive pinning synchronization of stochastic discrete-time networks

Yang Tang, S. Y.S. Leung, Wai Keung Wong, Jian an Fang

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

48 Citations (Scopus)

Abstract

The pinning synchronization problem of stochastic impulsive networks (SIN) is investigated. Using Lyapunov stability theory and pinning method, some sufficient criteria are derived for asymptotical synchronization and exponential synchronization of such dynamical networks in mean square. Illustrative examples are provided to verify the effectiveness of the proposed approach.

Original language	English
Pages (from-to)	2132-2139
Number of pages	8
Journal	Neurocomputing
Volume	73
Issue number	10-12
DOIs	https://doi.org/10.1016/j.neucom.2010.02.010
Publication status	Published - 1 Jun 2010

Keywords

Exponential synchronization
Impulsive system
Pinning synchronization
Stochastic neural networks

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

More information

10.1016/j.neucom.2010.02.010

Cite this

@article{f60f20cfc91441b0a9116cb973d35761,

title = "Impulsive pinning synchronization of stochastic discrete-time networks",

abstract = "The pinning synchronization problem of stochastic impulsive networks (SIN) is investigated. Using Lyapunov stability theory and pinning method, some sufficient criteria are derived for asymptotical synchronization and exponential synchronization of such dynamical networks in mean square. Illustrative examples are provided to verify the effectiveness of the proposed approach.",

keywords = "Exponential synchronization, Impulsive system, Pinning synchronization, Stochastic neural networks",

author = "Yang Tang and Leung, {S. Y.S.} and Wong, {Wai Keung} and Fang, {Jian an}",

year = "2010",

month = jun,

day = "1",

doi = "10.1016/j.neucom.2010.02.010",

language = "English",

volume = "73",

pages = "2132--2139",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier B.V.",

number = "10-12",

}

TY - JOUR

T1 - Impulsive pinning synchronization of stochastic discrete-time networks

AU - Tang, Yang

AU - Leung, S. Y.S.

AU - Wong, Wai Keung

AU - Fang, Jian an

PY - 2010/6/1

Y1 - 2010/6/1

N2 - The pinning synchronization problem of stochastic impulsive networks (SIN) is investigated. Using Lyapunov stability theory and pinning method, some sufficient criteria are derived for asymptotical synchronization and exponential synchronization of such dynamical networks in mean square. Illustrative examples are provided to verify the effectiveness of the proposed approach.

AB - The pinning synchronization problem of stochastic impulsive networks (SIN) is investigated. Using Lyapunov stability theory and pinning method, some sufficient criteria are derived for asymptotical synchronization and exponential synchronization of such dynamical networks in mean square. Illustrative examples are provided to verify the effectiveness of the proposed approach.

KW - Exponential synchronization

KW - Impulsive system

KW - Pinning synchronization

KW - Stochastic neural networks

UR - http://www.scopus.com/inward/record.url?scp=77952554357&partnerID=8YFLogxK

U2 - 10.1016/j.neucom.2010.02.010

DO - 10.1016/j.neucom.2010.02.010

M3 - Journal article

SN - 0925-2312

VL - 73

SP - 2132

EP - 2139

JO - Neurocomputing

JF - Neurocomputing

IS - 10-12

ER -

Impulsive pinning synchronization of stochastic discrete-time networks

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this