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Mean square exponential synchronization for two classes of Markovian switching complex networks under feedback control from synchronization control cost viewpoint

机译:从同步控制成本角度看两类马尔可夫交换复杂网络在反馈控制下的均方指数同步

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摘要

This paper is concerned with mean square exponential synchronization for two classes of Markovian switching complex networks (MSCNs) under linear negative control scheme from synchronization control cost viewpoint. Two classes of MSCNs are considered. In order to analyze synchronization controllability for the two classes of MSCNs from synchronization control cost viewpoint, synchronization control cost and synchronization controllability are defined, respectively. By utilizing M-matrix properties, a novel Lyapunov function and the stochastic analysis techniques, sufficient criteria of mean square synchronization and global synchronization for the two classes of MSCNs under feedback control are derived. Three numerical examples and simulations are given to illustrate the following conclusions: (1) the two classes of MSCNs under the same linear negative feedback controller can achieve mean square exponential synchronization and global synchronization if they satisfy sufficient conditions of mean square exponential synchronization; (2) by computing synchronization control cost, we obtain that global synchronization controllability for the first class of MSCNs may perhaps stronger or poorer than that of the second class of MSCNs with time-varying delays. (C) 2014 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:从同步控制成本的角度出发,本文涉及线性负控制方案下两类马尔可夫交换复杂网络(MSCN)的均方指数同步。考虑了两类MSCN。为了从同步控制成本的角度分析两类MSCN的同步可控性,分别定义了同步控制成本和同步可控性。通过利用M-矩阵属性,新颖的Lyapunov函数和随机分析技术,得出了在反馈控制下两类MSCN的均方同步和全局同步的充分判据。给出了三个数值示例和仿真结果,以得出以下结论:(1)在相同的线性负反馈控制器下,两类MSCN如果满足均方指数同步的足够条件,则可以实现均方指数同步和全局同步; (2)通过计算同步控制成本,我们得出第一类MSCN的全局同步可控性可能会比具有时变时延的第二类MSCN的强或弱。 (C)2014富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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    《Journal of the Franklin Institute》 |2015年第8期|3221-3242|共22页
  • 作者单位

    Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China|Zhejiang Text & Fash Coll, Sch Informat Engn, Ningbo 315211, Zhejiang, Peoples R China;

    Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China;

    Hunan City Univ, Sch Math & Comp Sci, Yiyang 413000, Hunan, Peoples R China;

    Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China;

    Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China;

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