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Randomly Occurring Cluster Synchronization of Complex Networks via Adaptive Pinning Control

机译:通过自适应钉扎控制随机地发生复杂网络的群集同步

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The article studies the cluster synchronization for a kind of nonlinear coupled complex network with time-varying delay. Considering the networks may subject to certain uncertainties, the model of complex networks consisting of nonidentical systems with randomly occurring disturbance which described by Bernoulli stochastic variable is established. Secondly, a kind of pinning feedback controllers under randomly occurring disturbance is proposed in order to not only synchronize the systems in the same clusters but also weaken the mutual influence among clusters, which will be imposed on the systems in current cluster which have directed connections with the systems in the other clusters. Then, sufficient conditions for the realization of the cluster synchronization are derived in terms of the QUAD function class, the NCF function class and the Lyapunov stability theorem. Furthermore, the optimal feedback control gain is obtained by designing the adaptive updating laws. Finally, a numerical experiment is presented to illustrate the effectiveness of theoretical analysis.
机译:本文研究了一种具有时变延迟的非线性耦合复合网络的簇同步。考虑到网络可能会受到某些不确定性的影响,建立了由伯努利随机变量描述的随机发生的无随机发生的扰动的复杂网络模型。其次,提出了一种随机发生的干扰下的钉扎反馈控制器,以便不仅使系统在同一群集中同步,而且还削弱了集群之间的相互影响,这将对当前集群中的系统施加到具有定向连接的系统上的群体其他集群中的系统。然后,在四函数类,NCF函数类和Lyapunov稳定性定理方面导出了实现群集同步的充分条件。此外,通过设计自适应更新法来获得最佳反馈控制增益。最后,提出了一种数值实验以说明理论分析的有效性。

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