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Piecewise Pseudo Almost-Periodic Solutions of Impulsive Fuzzy Cellular Neural Networks with Mixed Delays

机译:混合延迟的脉冲模糊蜂窝神经网络分段伪近周期解

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摘要

This article examines the existence of the unique piecewise pseudo almost periodic for impulsive fuzzy cellular neural networks by using the contraction mapping principle and piecewise pseudo almost periodic function theory. Further, sufficient certain conditions for their global exponential stability are produced through the use of differential inequality and generalized Gronwall-Bellman inequality. Our results are new and complement some previously known ones. Two examples and their numerical simulations are performed to ensure our theoretical results.
机译:本文通过使用收缩映射原理和分段伪几乎周期性函数理论,研究了禁止模糊蜂窝神经网络的独特分段伪几乎周期性的存在。此外,通过使用差分不等式和广义的Gronwall-Bellman不等式来产生足够的全球指数稳定性条件。我们的结果是新的,并补充了一些先前已知的。执行两个例子及其数值模拟以确保我们的理论结果。

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