Mittag-Leffler synchronization of fractional-order coupled neural networks with mixed delays

作者：

Highlights：

• A universal delayed FOCNNs model is proposed, which treat other fractional delayed networks as its special cases.

• For the intractable case of FOCNNs both with time-varying delays and infinite distributed delays, a generalized fractional-order Halanay inequality is introduced, which is crucial for synchronization of FOCNNs with mixed delays.

• A unified synchronization analysis framework for FOCNNs is established, which is applicable to both the case with infinite distributed delays and the commonly used constant or time-varying delays.

摘要

•A universal delayed FOCNNs model is proposed, which treat other fractional delayed networks as its special cases.•For the intractable case of FOCNNs both with time-varying delays and infinite distributed delays, a generalized fractional-order Halanay inequality is introduced, which is crucial for synchronization of FOCNNs with mixed delays.•A unified synchronization analysis framework for FOCNNs is established, which is applicable to both the case with infinite distributed delays and the commonly used constant or time-varying delays.

论文关键词：Coupled neural networks,Fractional-order,Mittag-Leffler synchronization,Mixed time delays

论文评审过程：Received 25 January 2022, Revised 7 April 2022, Accepted 4 June 2022, Available online 10 June 2022, Version of Record 10 June 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127303