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Exponential p-stability of Impulsive Stochastic Cohen-Grossberg Neural Networks with Variable Coefficients and Mixed Delays

机译:具有可变系数和混合时滞的脉冲随机Cohen-Grossberg神经网络的指数p稳定性

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摘要

In this paper, we consider a class of impulsive stochastic Cohen-Grossberg neural networks with variable coefficients and mixed delays. By establishing an L -operator differential inequality and using stochastic analysis technique, we obtain the exponential p-stability of the impulsive stochastic cohen-Grossberg neural networks with variable coefficients and mixed delays. These results are new and generalize a few pervious known results.
机译:在本文中,我们考虑一类具有可变系数和混合时滞的脉冲随机Cohen-Grossberg神经网络。通过建立L算子微分不等式并使用随机分析技术,我们获得了具有可变系数和混合时滞的脉冲随机Cohen-Grossberg神经网络的指数p稳定性。这些结果是新的,并概括了一些以前的已知结果。

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