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Mean square exponential stability of impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with delays

机译:时滞脉冲随机反应-扩散Cohen-Grossberg神经网络的均方指数稳定性

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摘要

In this paper, we establish a method to study the mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with delays. By using the properties of M-cone and inequality technique, we obtain some sufficient conditions ensuring mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with delays. The sufficient conditions are easily checked in practice by simple algebra methods and have a wider adaptive range. Two examples are also discussed to illustrate the efficiency of the obtained results.
机译:本文建立了一种研究具有时滞的脉冲随机反应-扩散Cohen-Grossberg神经网络的零解的均方指数稳定性的方法。利用M-锥和不等式的性质,我们获得了一些充分的条件,从而确保了具有时滞的脉冲随机反应-扩散Cohen-Grossberg神经网络的零解的均方指数稳定性。在实践中,可以通过简单的代数方法轻松检查足够的条件,并且具有较宽的适应范围。还讨论了两个示例以说明所获得结果的效率。

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