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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Synchronization of stochastic multi-weighted complex networks with Levy noise based on graph theory
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Synchronization of stochastic multi-weighted complex networks with Levy noise based on graph theory

机译:基于图形理论的征收征电随机多加权复合网络的同步

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This paper addresses the synchronization problem of stochastic multi-weighted complex networks with Levy noise. Based on the drive-response concept and graph theory, global Lyapunov function of the error network between drive-response networks is obtained by the weighted summation of Lyapunov functions of vertex systems. According to the stochastic analysis and state feedback control technique, the rigorous synchronization analysis of drive-response networks in the pth moment and probability sense is presented. The obtained synchronization criteria are closely related with multi-weights and the intensity of Levy noise. Finally, some numerical simulations are provided to illustrate the effectiveness of the theoretical results. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文介绍了随机多加权复杂网络具有征收噪声的同步问题。 基于驱动响应概念和图论,通过顶点系统的Lyapunov函数的加权求和,获得了驱动响应网络之间的错误网络的全局Lyapunov函数。 根据随机分析和状态反馈控制技术,介绍了第PHTH矩和概率意义中的驱动响应网络的严格同步分析。 所获得的同步标准与多重权重和征收噪声强度密切相关。 最后,提供了一些数值模拟以说明理论结果的有效性。 (c)2019 Elsevier B.v.保留所有权利。

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