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Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays

机译:具有离散和连续分布时滞的递归神经网络周期解的存在性,唯一性和全局稳定性的脉冲控制

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摘要

In this paper, a class of recurrent neural networks with discrete and continuously distributed delays is considered. Sufficient conditions for the existence, uniqueness, and global exponential stability of a periodic solution are obtained by using contraction mapping theorem and stability theory on impulsive functional differential equations. The proposed method, which differs from the existing results in the literature, shows that network models may admit a periodic solution which is globally exponentially stable via proper impulsive control strategies even if it is originally unstable or divergent. Two numerical examples and their computer simulations are offered to show the effectiveness of our new results.
机译:在本文中,考虑了一类具有离散且连续分布的延迟的递归神经网络。利用压缩映射定理和脉冲泛函微分方程的稳定性理论,获得了周期解的存在性,唯一性和全局指数稳定性的充分条件。所提出的方法与文献中已有的结果不同,它表明网络模型可以接受一个周期解,该周期解通过适当的脉冲控制策略在全局上是指数稳定的,即使它最初是不稳定的或发散的。提供了两个数值示例及其计算机模拟,以证明我们新结果的有效性。

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