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时变时滞脉冲分数阶反应扩散神经网络的概周期解

Almost Periodicity in Impulsive Fractional-Order Reaction-Diffusion Neural Networks With Time-Varying Delays.

出版信息

IEEE Trans Cybern. 2021 Jan;51(1):151-161. doi: 10.1109/TCYB.2020.2967625. Epub 2020 Dec 22.

Abstract

A neural-network model of fractional order with impulsive perturbations, time-varying delays, and reaction-diffusion terms is investigated in this article. The focus is on investigating qualitative properties of the states and developing new almost periodicity and stability criteria. The uncertain case is also considered. Examples are established and the effectiveness of the obtained criteria is demonstrated.

摘要

本文研究了具有脉冲扰动、时变时滞和反应扩散项的分数阶神经网络模型。重点研究了状态的定性性质和新的几乎周期性和稳定性准则的发展。还考虑了不确定情况。建立了实例,并验证了所得到的准则的有效性。

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