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

Abstract

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.

Keywords

• Markovian jumping process
• Markovian jumping system approach
• sensor fault estimation error system
• networked vehicle suspension system
• deny‐of‐service attack
• sensor fault estimation problem