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Mean-square heterogeneous synchronization of interdependent networks with stochastic disturbances

机译:具有随机扰动的相互依存网络的平均方形异构同步

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In this paper, the mean-square asymptotical heterogeneous synchronization of interdependent networks with stochastic disturbances, which is a zero-mean real Wiener process, is investigated. The network discussed consists of two sub-networks, which are one-by-one inter-coupled. The unknown but bounded nonlinear coupling functions not only exist in the intra-coupling but also in the inter-coupling between two sub-networks. Based on the stochastic Lyapunov stability theory, adaptive control, It? formula and the linear matrix inequality, several sufficient conditions are proposed to guarantee adaptive mean-square heterogeneous asymptotical synchronization of the interdependent networks. In order to better illustrate the feasibility and effectiveness of the synchronization conditions derived in this brief, numerical simulations are provided finally.
机译:在本文中,研究了具有随机障碍的相互依存网络的平均方形渐近异构同步,这是零平均真实维纳过程。讨论的网络由两个子网组成,这是一个逐个耦合的。未知但有界非线性耦合功能不仅存在于耦合内,而且还在两个子网之间的相互耦合中。基于随机Lyapunov稳定性理论,自适应控制,它吗?公式和线性矩阵不等式,提出了几种充分的条件,以保证相互依存网络的自适应均方异构渐近渐近同步。为了更好地说明在本简要介绍中得出的同步条件的可行性和有效性,最终提供了数值模拟。

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