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Almost periodic solutions of impulsive BAM neural networks with variable delays on time scales

机译:时标上具有可变时滞的脉冲BAM神经网络的概周期解

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This paper is concerned with a class of impulsive BAM neural networks with variable delays on time scales. Some sufficient conditions are established to ensure the existence and exponential stability of almost periodic solutions for such class of impulsive BAM neural networks. The results are essentially new when T = R or T = Z. It is the first time that the existence and exponential stability of almost periodic solutions for impulsive BAM neural networks are obtained on time scales. Furthermore, an example and numerical simulations are given to illustrate our effectiveness of the obtained results.
机译:本文涉及一类在时标上具有可变时滞的脉冲BAM神经网络。建立了一些充分的条件,以确保此类BAM神经网络的概周期解的存在性和指数稳定性。当T = R或T = Z时,结果基本上是新的。这是首次在时间尺度上获得脉冲BAM神经网络的几乎周期解的存在性和指数稳定性。此外,给出了一个例子和数值模拟来说明我们获得的结果的有效性。

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