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Exponential Synchronization of Stochastic Complex Dynamical Networks with Impulsive Perturbations and Markovian Switching

机译:脉冲扰动和马尔可夫切换的随机复杂动力网络的指数同步。

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摘要

This paper investigates the exponential synchronization problem of stochastic complex dynamical networks with impulsive perturbation and Markovian switching. The complex dynamical networks consist of κ modes, and the networks switch from one mode to another according to a Markovian chain with known transition probability. Based on the Lyapunov function method and stochastic analysis, by employing M-matrix approach, some sufficient conditions are presented to ensure the exponential synchronization of stochastic complex dynamical networks with impulsive perturbation and Markovian switching, and the upper bound of impulsive gain is evaluated. At the end of this paper, two numerical examples are included to show the effectiveness of our results.
机译:本文研究了具有脉冲摄动和马尔可夫切换的随机复杂动力网络的指数同步问题。复杂的动力学网络由κ模式组成,并且网络根据已知跃迁概率的马尔可夫链从一种模式切换到另一种模式。基于Lyapunov函数方法和随机分析,通过M矩阵方法,给出了一些条件,以保证具有脉冲扰动和Markovian切换的随机复杂动力网络的指数同步,并评估了脉冲增益的上限。在本文的最后,包括两个数值示例,以证明我们的结果的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第3期|927858.1-927858.10|共10页
  • 作者单位

    College of Information Science and Technology, Donghua University, Shanghai 201620, China;

    College of Information Science and Technology, Donghua University, Shanghai 201620, China;

    College of Information Science and Technology, Donghua University, Shanghai 201620, China;

    College of Information Science and Technology, Donghua University, Shanghai 201620, China;

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