Exponential synchronization of discrete-time impulsive dynamical networks with time-varying delays and stochastic disturbances

Qunjiao Zhang; Guanrong Chen; Li Wan

doi:10.1016/j.neucom.2018.04.070

Exponential synchronization of discrete-time impulsive dynamical networks with time-varying delays and stochastic disturbances

Qunjiao Zhang^*
, Guanrong Chen
, Li Wan

^*Corresponding author for this work

Department of Electrical Engineering

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

30 Citations (Scopus)

Abstract

In this paper, based on the discrete-time delayed impulsive system theory, exponential synchronization of discrete-time complex networks with both time-varying delays and stochastic disturbances is investigated. By applying an iterative Lyapunov function in combination with the linear matrix inequality (LMI) technique, a new synchronization criterion based on topology matrices and impulsive conditions is developed. Some numerical simulations are provided to verify the theoretical results.

Original language	English
Pages (from-to)	62-69
Journal	Neurocomputing
Volume	309
Online published	9 May 2018
DOIs	https://doi.org/10.1016/j.neucom.2018.04.070
Publication status	Published - 2 Oct 2018

Research Keywords

Discrete-time network
Exponential synchronization
Impulsive control
Stochastic disturbance
Time-varying delay

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10.1016/j.neucom.2018.04.070

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title = "Exponential synchronization of discrete-time impulsive dynamical networks with time-varying delays and stochastic disturbances",

abstract = "In this paper, based on the discrete-time delayed impulsive system theory, exponential synchronization of discrete-time complex networks with both time-varying delays and stochastic disturbances is investigated. By applying an iterative Lyapunov function in combination with the linear matrix inequality (LMI) technique, a new synchronization criterion based on topology matrices and impulsive conditions is developed. Some numerical simulations are provided to verify the theoretical results.",

keywords = "Discrete-time network, Exponential synchronization, Impulsive control, Stochastic disturbance, Time-varying delay",

author = "Qunjiao Zhang and Guanrong Chen and Li Wan",

year = "2018",

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doi = "10.1016/j.neucom.2018.04.070",

language = "English",

volume = "309",

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journal = "Neurocomputing",

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T1 - Exponential synchronization of discrete-time impulsive dynamical networks with time-varying delays and stochastic disturbances

AU - Zhang, Qunjiao

AU - Chen, Guanrong

AU - Wan, Li

PY - 2018/10/2

Y1 - 2018/10/2

N2 - In this paper, based on the discrete-time delayed impulsive system theory, exponential synchronization of discrete-time complex networks with both time-varying delays and stochastic disturbances is investigated. By applying an iterative Lyapunov function in combination with the linear matrix inequality (LMI) technique, a new synchronization criterion based on topology matrices and impulsive conditions is developed. Some numerical simulations are provided to verify the theoretical results.

AB - In this paper, based on the discrete-time delayed impulsive system theory, exponential synchronization of discrete-time complex networks with both time-varying delays and stochastic disturbances is investigated. By applying an iterative Lyapunov function in combination with the linear matrix inequality (LMI) technique, a new synchronization criterion based on topology matrices and impulsive conditions is developed. Some numerical simulations are provided to verify the theoretical results.

KW - Discrete-time network

KW - Exponential synchronization

KW - Impulsive control

KW - Stochastic disturbance

KW - Time-varying delay

UR - https://www.scopus.com/pages/publications/85047094623

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85047094623&origin=recordpage

U2 - 10.1016/j.neucom.2018.04.070

DO - 10.1016/j.neucom.2018.04.070

M3 - RGC 21 - Publication in refereed journal

SN - 0925-2312

VL - 309

SP - 62

EP - 69

JO - Neurocomputing

JF - Neurocomputing

ER -

Exponential synchronization of discrete-time impulsive dynamical networks with time-varying delays and stochastic disturbances

Abstract

Research Keywords

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