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A Mode and Control Adaptive Almost Surely Asymptotically Synchronization for Stochastic Time Delay Neural Network with Markovian Switching

机译:马尔可夫切换的随机时滞神经网络的模式与控制自适应几乎渐近同步。

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摘要

The problem of adaptive almost surely asymptotically synchronization for stochastic time delay neural network with Markovian Switching is considered in this paper. By using M-matrix method, a sufficient condition under which the response system adaptive almost surely asymptotically synchronizes with the drive system is obtained. To illustrate the effectiveness of the result proposed in this paper, a numerical example is given.
机译:研究了具有马尔可夫切换的随机时滞神经网络的自适应自适应自适应渐近同步问题。通过使用M矩阵方法,获得了充分满足条件的条件,在该条件下自适应系统几乎可以肯定地渐近地与驱动系统同步。为了说明本文提出的结果的有效性,给出了一个数值示例。

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