Existence and Global Uniform Asymptotic Stability of Pseudo Almost Periodic Solutions for Cohen-Grossberg Neural Networks with Discrete and Distributed Delays

HongyingZhu; ChunhuaFeng

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Existence and Global Uniform Asymptotic Stability of Pseudo Almost Periodic Solutions for Cohen-Grossberg Neural Networks with Discrete and Distributed Delays

机译：具有离散和分布时滞的Cohen-Grossberg神经网络的伪概周期解的存在性和全局一致渐近稳定性

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This paper studies the existence and uniform asymptotic stability of pseudo almost periodic solutions to Cohen-Grossberg neural networks (CGNNs) with discrete and distributed delays by applying Schauder fixed point theorem and constructing a suitable Lyapunov functional. An example is given to show the effectiveness of the main results.

机译：本文通过应用Schauder不动点定理并构造一个合适的Lyapunov函数，研究具有离散和分布时滞的Cohen-Grossberg神经网络（CGNN）的伪几乎周期解的存在性和一致的渐近稳定性。举例说明了主要结果的有效性。

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2014年第2期|共10页
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HongyingZhu; ChunhuaFeng;
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中图分类工程数学;
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Existence and Global Uniform Asymptotic Stability of Pseudo Almost Periodic Solutions for Cohen-Grossberg Neural Networks with Discrete and Distributed Delays

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