Fixed-time synchronization of coupled memristive neural networks via event-triggered control

作者：

Highlights：

• The fixed-time synchronization problem to coupled memristive neural networks is solved.

• A fixed-time analysis method is provided for the system with parameter unmatching condi- tions and event-triggered schemes.

• The design methods for both decentralized and distributed event-triggered schemes are provided.

• A potential application in secure communication is discussed.

摘要

•The fixed-time synchronization problem to coupled memristive neural networks is solved.•A fixed-time analysis method is provided for the system with parameter unmatching condi- tions and event-triggered schemes.•The design methods for both decentralized and distributed event-triggered schemes are provided.•A potential application in secure communication is discussed.

论文关键词：Fixed-time,Synchronization,Event-triggered control,Coupled memristive neural networks

论文评审过程：Received 14 September 2020, Revised 1 July 2021, Accepted 14 July 2021, Available online 1 August 2021, Version of Record 1 August 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126542