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Cluster Synchronization on Multiple Nonlinearly Coupled Dynamical Subnetworks of Complex Networks With Nonidentical Nodes

机译:具有不相同节点的复杂网络的多个非线性耦合动态子网络上的集群同步

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In this paper, cluster synchronization on multiple nonlinearly coupled dynamical subnetworks of complex networks with nonidentical nodes and stochastic perturbations is studied. Based on the general leader–follower’s model, an improved network structure model that consists of multiple pairs of matching subnetworks, each of which includes a leaders’ subnetwork and a followers’ subnetwork, is proposed. Moreover, the dynamical behaviors of the nodes belonging to the same pair of matching subnetworks are identical, while the ones belonging to different pairs of unmatched subnetworks are nonidentical. In this new setting, the aim is to design some suitable adaptive pinning controllers on the chosen nodes of each followers’ subnetwork, such that the nodes in each subnetwork can be exponentially synchronized onto their reference state. Then, some cluster synchronization criteria for multiple nonlinearly coupled dynamical subnetworks of complex networks are established, and a pinning control scheme that the nodes with very large or low degrees are good candidates for applying pinning controllers is presented. Suitable adaptive update laws are used to deal with the unknown feedback gains between the pinned nodes and their leaders. Finally, several numerical simulations are given to demonstrate the effectiveness and applicability of the proposed approach.
机译:本文研究了具有不相同节点和随机扰动的复杂网络的多个非线性耦合动力学子网络上的集群同步。在总领导者跟随者模型的基础上,提出了一种改进的网络结构模型,该模型由多对匹配的子网络组成,每对匹配子网络都包括一个领导者子网络和一个追随者子网络。此外,属于同一对匹配子网的节点的动态行为是相同的,而属于不匹配子网对的节点的动态行为是不同的。在这种新设置中,目标是在每个跟随者子网的选定节点上设计一些合适的自适应固定控制器,以使每个子网中的节点可以指数同步到其参考状态。然后,为复杂网络的多个非线性耦合动态子网建立了一些集群同步准则,提出了一种固定控制方案,该方案具有大或低度的节点都是应用固定控制器的良好选择。适当的自适应更新定律用于处理固定节点及其引导者之间的未知反馈增益。最后,通过几个数值模拟来证明所提方法的有效性和适用性。

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