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Asymptotical synchronization analysis of fractional-order complex neural networks with non-delayed and delayed couplings

机译:非延迟和延迟联轴器分数级复合神经网络的渐近同步分析

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摘要

In this paper, the asymptotical synchronization of fractional-order complex neural networks with non delayed and delayed couplings is investigated. By employing the Kronecker product technique and weighted norm, two Lyapunov functions are constructed. Based on the fractional-order Lyapunov direct method and Kronecker product method, together with the Laplace transform and the comparison principle, several novel sufficient conditions on synchronization of fractional-order complex neural networks with non-delayed and delayed couplings, respectively, are proposed. Finally, three numerical examples are given to show the effectiveness of our proposed theoretical results and the difference between our main result and some existing results in the literature.(c) 2021 Elsevier B.V. All rights reserved.
机译:本文研究了具有非延迟和延迟联轴器的分数级复杂神经网络的渐近同步。 通过采用Kroncker产品技术和加权规范,构建了两个Lyapunov功能。 基于分数级Lyapunov直接方法和克朗克彼此产品方法,以及Laplace变换和比较原理,提出了几个关于具有非延迟和延迟耦合的分数顺序复合神经网络同步的新颖充分条件。 最后,给出了三个数值例子表明我们提出的理论结果的有效性以及我们主要结果与文献中的一些现有结果之间的差异。(c)2021 Elsevier B.v.保留所有权利。

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