Finite-time global synchronization for a class of Markovian jump complex networks with partially unknown transition rates under feedback control

被引：61

作者：

Wang, Xin ^{[1
,2
]}

Fang, Jian-an ^{[1
]}

Mao, Huanyu ^{[2
]}

Dai, Anding ^{[3
]}

机构：

[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

[2] Zhejiang Text & Fash Coll, Sch Informat Engn, Ningbo 315211, Zhejiang, Peoples R China

[3] Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Hunan, Peoples R China

来源：

NONLINEAR DYNAMICS | 2015年 / 79卷 / 01期

关键词：

Finite-time global synchronization; Complex network; Markovian jump; Feedback control; Stochastic noises; STOCHASTIC NONLINEAR-SYSTEMS; COUPLED NEURAL-NETWORKS; DYNAMICAL NETWORKS; DELAY; STABILITY; STABILIZATION; PERTURBATION; RESET;

D O I：

10.1007/s11071-014-1644-2

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper presents a framework for finite-time global synchronization of Markovian jump complex networks (MJCNs) with partially unknown transition rates, time-delays and stochastic noises. Several criteria for finite-time global synchronization are given by using the stochastic analysis techniques and matrix theory. These criteria provide a feasible approach to design linear feedback controller and to compute finite-time of global synchronization for the addressed MJCNs. Four numerical examples are given to demonstrate the effectiveness of the theoretical results.

引用

页码：47 / 61

页数：15

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