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Stochastic Global Exponential Stability of Neutral-Type Impulsive Neural Networks with both Markovian Jumping and Mixed Time Delays

机译:马尔可夫跳跃和混合时滞的中立型脉冲神经网络的随机全局指数稳定性

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The problem of stochastic global exponential stability for neural networks of neutral-type impulsive with both Markovian Jumping and mixed time delays is studied in this paper. By using stochastic analysis approach and Lyapunov-Krasovskii method, a sufficient condition under which the neural networks of neutral-type impulsive with both time delays and Markovian Jumping 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跳跃和混合时滞的中立型脉冲神经网络的随机全局指数稳定性问题。通过使用随机分析方法和Lyapunov-Krasovskii方法,获得了同时具有时滞和马尔可夫跳跃的中立型脉冲神经网络的充分条件。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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