首页> 美国卫生研究院文献>Computational Intelligence and Neuroscience >Global Exponential Stability of Almost Periodic Solution for Neutral-Type Cohen-Grossberg Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
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Global Exponential Stability of Almost Periodic Solution for Neutral-Type Cohen-Grossberg Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses

机译:具有分布时滞和脉冲的中立型Cohen-Grossberg分流抑制性细胞神经网络的概周期解的全局指数稳定性

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摘要

A kind of neutral-type Cohen-Grossberg shunting inhibitory cellular neural networks with distributed delays and impulses is considered. Firstly, by using the theory of impulsive differential equations and the contracting mapping principle, the existence and uniqueness of the almost periodic solution for the above system are obtained. Secondly, by constructing a suitable Lyapunov functional, the global exponential stability of the unique almost periodic solution is also investigated. The work in this paper improves and extends some results in recent years. As an application, an example and numerical simulations are presented to demonstrate the feasibility and effectiveness of the main results.
机译:考虑一种具有分布时滞和脉冲的中性型Cohen-Grossberg分流抑制性细胞神经网络。首先,利用脉冲微分方程理论和压缩映射原理,得到了上述系统几乎周期解的存在性和唯一性。其次,通过构造合适的Lyapunov泛函,还研究了唯一的几乎周期解的全局指数稳定性。近年来,本文的工作改进并扩展了一些结果。作为一个应用,给出了一个例子和数值模拟来证明主要结果的可行性和有效性。

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