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首页> 外文期刊>Nonlinear Analysis: An International Multidisciplinary Journal >Stability of impulsive stochastic differential delay systems and its application to impulsive stochastic neural networks
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Stability of impulsive stochastic differential delay systems and its application to impulsive stochastic neural networks

机译:脉冲随机微分时滞系统的稳定性及其在脉冲随机神经网络中的应用

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This paper is concerned with the stability of n-dimensional stochastic differential delay systems with nonlinear impulsive effects. First, the equivalent relation between the solution of the n-dimensional stochastic differential delay system with nonlinear impulsive effects and that of a corresponding n-dimensional stochastic differential delay system without impulsive effects is established. Then, some stability criteria for the n-dimensional stochastic differential delay systems with nonlinear impulsive effects are obtained. Finally, the stability criteria are applied to uncertain impulsive stochastic neural networks with time-varying delay. The results show that, this convenient and efficient method will provide a new approach to study the stability of impulsive stochastic neural networks. Some examples are also discussed to illustrate the effectiveness of our theoretical results.
机译:本文涉及具有非线性脉冲效应的n维随机微分时滞系统的稳定性。首先,建立了具有非线性脉冲效应的n维随机差分时滞系统的解与没有脉冲效应的n维随机差分时滞系统的解之间的等价关系。然后,获得了具有非线性脉冲效应的n维随机微分时滞系统的稳定性准则。最后,将稳定性判据应用于具有时变时滞的不确定脉冲随机神经网络。结果表明,这种方便有效的方法将为研究脉冲随机神经网络的稳定性提供一种新的方法。还讨论了一些示例以说明我们的理论结果的有效性。

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