Fault detection filtering for MNNs with dynamic quantization and improved protocol

作者：

Highlights：

• An improved dynamic event-triggering protocol, whose multiple threshold functions are dynamically adjustable, is presented.

• Two mutually independent Bernoulli variables are given to depicting the randomly occurring cyber-attacks.

• A dynamic quantizer is established to account for restricted bandwidth efficiently.

摘要

•An improved dynamic event-triggering protocol, whose multiple threshold functions are dynamically adjustable, is presented.•Two mutually independent Bernoulli variables are given to depicting the randomly occurring cyber-attacks.•A dynamic quantizer is established to account for restricted bandwidth efficiently.

论文关键词：Memristive neural networks,Dynamic quantization,Dynamic event-triggered mechanism,Cyber-attacks

论文评审过程：Received 24 March 2022, Revised 8 June 2022, Accepted 31 July 2022, Available online 8 August 2022, Version of Record 8 August 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127460