Open AccessSensor fault estimation of networked vehicle suspension system with deny‐of‐service attack
Author(s) -
Ye Zehua,
Ni Hongjie,
Xu Zhenhua,
Zhang Dan
Publication year - 2020
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2019.0258
Subject(s) - fault (geology) , jumping , control theory (sociology) , observer (physics) , markov process , process (computing) , computer science , engineering , mathematics , artificial intelligence , statistics , seismology , geology , physiology , physics , control (management) , quantum mechanics , biology , operating system
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.