Global asymptotic stability of fractional-order competitive neural networks with multiple time-varying-delay links
作者：
Highlights：
• Multiple time-varying delay links are introduced into fractional-order competitive neural networks.
• An integral inequality associated with every upper bound of each time-varying delay is proposed.
• Based on integral inequality, a generalized fractional-order Halanay inequality is obtained.
• The stability criterion is dependent on the topological structure of networks.
摘要
•Multiple time-varying delay links are introduced into fractional-order competitive neural networks.•An integral inequality associated with every upper bound of each time-varying delay is proposed.•Based on integral inequality, a generalized fractional-order Halanay inequality is obtained.•The stability criterion is dependent on the topological structure of networks.
论文关键词：Competitive neural networks,Fractional derivatives,Global asymptotic stability,Time-varying delays,Multiple links
论文评审过程：Received 5 December 2019, Revised 22 June 2020, Accepted 28 June 2020, Available online 10 August 2020, Version of Record 10 August 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125498
