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Partial-information-based synchronization analysis for complex dynamical networks

机译:复杂动力网络中基于局部信息的同步分析

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The model of complex dynamical networks with partial information transmission is introduced. Unlike existing complex network models, the information transmission between the nodes is assumed to have an imperfect physical condition - only partial information can be transmitted. Furthermore, for varying connections, the partly transmitted information can be completely distinct. This communication constraint makes the network harder to achieve synchronization. To reflect a more practical situation, we consider the complex networks with two typical kinds of inner coupling matrix: diagonal matrix and lower triangle matrix. By using an efficient decomposition method, some synchronization criteria are then derived for the complex networks with partial information transmission. Finally, a complex network with chaotic dynamics is constructed as an example to illustrate the effectiveness of the proposed results. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:介绍了具有部分信息传递的复杂动力网络模型。与现有的复杂网络模型不同,假定节点之间的信息传输具有不完善的物理条件-只能传输部分信息。此外,对于变化的连接,部分传输的信息可以完全不同。这种通信限制使网络更难实现同步。为了反映更实际的情况,我们考虑具有两种典型内部耦合矩阵的复杂网络:对角矩阵和下三角矩阵。通过使用有效的分解方法,然后为具有部分信息传输的复杂网络导出一些同步标准。最后,以一个具有混沌动力学的复杂网络为例,说明所提出结果的有效性。 (C)2015富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2015年第9期|3458-3475|共18页
  • 作者单位

    Taiyuan Univ Technol, Coll Math, Taiyuan 030024, Peoples R China;

    City Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China|Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China;

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  • 入库时间 2022-08-18 02:57:47

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