New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay
作者：
Highlights：
• A new fractional order Gronwall inequality with time delay is developed, which can be applied to investigate the stability or synchronization of some fractional order neural networks with time delay. Moreover, it is less conservative than the existing one [47, Theorem 2.5].
• A new criterion for finite-time synchronization of FMNNs with time delay is derived.
• Two numerical examples are exhibited to illustrate the effectiveness of the obtained results.
摘要
•A new fractional order Gronwall inequality with time delay is developed, which can be applied to investigate the stability or synchronization of some fractional order neural networks with time delay. Moreover, it is less conservative than the existing one [47, Theorem 2.5].•A new criterion for finite-time synchronization of FMNNs with time delay is derived.•Two numerical examples are exhibited to illustrate the effectiveness of the obtained results.
论文关键词：Fractional order neural networks,Finite-time synchronization,Time delay,Memristor
论文评审过程：Received 21 January 2020, Revised 9 August 2020, Accepted 12 August 2020, Available online 25 August 2020, Version of Record 25 August 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125616
