蔡克珍,张海

• 1:安庆师范大学数学与计算科学学院

摘要(Abstract)：

本文主要讨论了一类Riemann-Liouville分数阶时滞神经网络的渐近稳定性。通过构造一个适当的泛函推导出Lyapunov意义下的渐近稳定性判据,该方法避免了计算Lyapunov泛函的分数阶导数,所得结果描述为矩阵不等式,并给出了一个数值例子来说明所得结果的有效性和可行性。

关键词(KeyWords)： 渐近稳定性;时滞神经网络;Lyapunov泛函;Riemann-Liouville分数阶导数

Abstract:

Keywords:

基金项目(Foundation): 安徽省高校优秀青年拔尖人才支持计划重点项目(gxyqZD2016205);; 安徽省自然科学基金项目(1608085MA14);; 安徽省教育厅自然科学研究重点项目(KJ2015A152)

作者(Author): 蔡克珍,张海

DOI: 10.13757/j.cnki.cn34-1328/n.2018.02.004

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