Event-based asynchronous and resilient filtering for singular Markov jump LPV systems against deception attacks

作者：

Highlights：

• The deception attacks governed by Bernoulli distribution are taken into account.

• The improved dynamic event-triggered transmission protocol is proposed to reduce the total number of data transmission.

• An HMM is constructed to represent the asynchronous modes between the filtering error systems and the filters.

• The infinite dimension problem caused by the PDLMIs are also solved.

摘要

•The deception attacks governed by Bernoulli distribution are taken into account.•The improved dynamic event-triggered transmission protocol is proposed to reduce the total number of data transmission.•An HMM is constructed to represent the asynchronous modes between the filtering error systems and the filters.•The infinite dimension problem caused by the PDLMIs are also solved.

论文关键词：Singular Markov jump linear parameter-varying systems,Cyber-physical systems,Dynamic event-triggered transmission protocol,Deception-attacks,Asynchronous control

论文评审过程：Received 1 December 2020, Revised 6 February 2021, Accepted 4 March 2021, Available online 19 March 2021, Version of Record 19 March 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126176