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Cluster Synchronization for Linearly Coupled Chaotic Systems and Neural Networks

机译:线性耦合混沌系统与神经网络的集群同步

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In this paper, the cluster synchronization for an array of linearly coupled identical chaotic systems arid neural networks is investigated. New coupling schemes (or coupling matrices) are proposed, by which global cluster synchronization of linearly coupled chaotic systems and neural networks can be realized. Here, the number and the size of clusters (or groups)can be arbitrary. Some sufficient criteria to ensure global cluster synclironization are derived. Moreover, for any given coupling matrix, new coupled chaotic systems and neural networks with adaptive coupling strengths are proposed, which can synchronize coupled chaotic systems and neural networks by clusters. Simulations are given to verify' the validity of the theory.
机译:在本文中,研究了线性耦合的相同混沌系统和神经网络阵列的集群同步。提出了新的耦合方案(或耦合矩阵),可以实现线性耦合混沌系统和神经网络的全局簇同步。在此,簇(或组)的数量和大小可以是任意的。得出一些足以确保全局群集同步的标准。此外,对于任何给定的耦合矩阵,提出了具有自适应耦合强度的新型耦合混沌系统和神经网络,可以通过聚类同步耦合混沌系统和神经网络。通过仿真验证了该理论的正确性。

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