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
收藏
页码：47 / 61
页数：15
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