Sensor fault estimation of networked vehicle suspension system with deny‐of‐service attack

Autor:	Zehua Ye, Hongjie Ni, Zhenhua Xu, Dan Zhang
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Markovian jumping process Markovian jumping system approach sensor fault estimation error system networked vehicle suspension system deny‐of‐service attack sensor fault estimation problem Transportation engineering TA1001-1280 Electronic computers. Computer science QA75.5-76.95
Zdroj:	IET Intelligent Transport Systems, Vol 14, Iss 5, Pp 455-462 (2020)
Druh dokumentu:	article
ISSN:	1751-9578 1751-956X
DOI:	10.1049/iet-its.2019.0258
Popis:	This study is concerned with the sensor fault estimation problem for network‐based vehicle suspension system with deny‐of‐service attack, where a linear robust observer is designed. First of all, the attack behaviour switching is modelled as a Markovian jumping process, and then a sufficient condition based on the Markovian jumping system approach is proposed such that the sensor fault estimation error system is asymptotically stable in the mean‐square sense with a prescribed H ∞ performance level. In this work, the occurring and transition probabilities of the attack are allowed to be partially unknown and uncertain. Finally, a simulation example is presented that validates the effectiveness of design method.
Databáze:	Directory of Open Access Journals
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