ON SYNCHRONIZATION OF DISCRETE-TIME MARKOVIAN JUMPING STOCHASTIC COMPLEX NETWORKS WITH MODE-DEPENDENT MIXED TIME-DELAYS

被引:17
|
作者
Liu, Yurong [1 ]
Wang, Zidong [2 ]
Liu, Xiaohui [2 ]
机构
[1] Yangzhou Univ, Dept Math, Yangzhou 225002, Peoples R China
[2] Brunel Univ, Dept Informat Syst & Comp, Uxbridge UB8 3PH, Middx, England
来源
基金
英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;
关键词
Discrete-time complex networks; mixed time-delays; Markovian jumping parameters; stochastic disturbances; synchronization in the mean square; linear matrix inequality; RECURRENT NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; GLOBAL SYNCHRONIZATION; DYNAMICAL NETWORKS; STABILITY; SYSTEMS; ARRAY;
D O I
10.1142/S0217979209049826
中图分类号
O59 [应用物理学];
学科分类号
摘要
In this paper, the synchronization problem is investigated for a new class of discrete-time complex networks. Such complex networks involve the Markovian jumping parameters, mode-dependent discrete and distributed time-delays, constant and delayed couplings, as well as multiples to chastic disturbances. The stochastic disturbances influence the constant coupling term, the delayed coupling term, as well as the overall network dynamics, which could better describe the dynamical behavior of a coupled complex network presented within a noisy environment. With help from the Lyapunov functional method and the properties of Kronecker product, we employ the stochastic analysis techniques to derive several delay-dependent sufficient conditions under which the coupled complex network is asymptotically synchronized in the mean square. The criteria obtained in this paper are in the form of LMIs whose solution can be easily calculated using the standard numerical software. It is shown that our main results can cover many existing ones reported in the literature. A numerical example is presented to illustrate the usefulness of our results.
引用
收藏
页码:411 / 434
页数:24
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