Sampled-data exponential synchronization of time-delay neural networks subject to random controller gain perturbations

作者：

Highlights：

• A non-fragile sampled-data control method is used to study the exponential synchronization of neural networks with mixed delays.

• A sufficient exponential stability condition is developed by using a new two-sided looped Lyapunov functional.

• A design scheme of the non-fragile sampled-data controller is proposed by using some decoupling techniques.

摘要

•A non-fragile sampled-data control method is used to study the exponential synchronization of neural networks with mixed delays.•A sufficient exponential stability condition is developed by using a new two-sided looped Lyapunov functional.•A design scheme of the non-fragile sampled-data controller is proposed by using some decoupling techniques.

论文关键词：Synchronization,Sampled-data control,Time delay,Gain perturbations,Neural networks

论文评审过程：Received 18 January 2020, Revised 28 April 2020, Accepted 31 May 2020, Available online 20 June 2020, Version of Record 20 June 2020.

论文官网地址：https://doi.org/10.1016/j.amc.2020.125429