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1887

access icon free Sensor fault estimation of networked vehicle suspension system with deny-of-service attack

© The Institution of Engineering and Technology
Received 03/05/2019, Accepted 03/09/2019, Revised 14/07/2019, Published 10/09/2019

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 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.

Inspec keywords: sensors; control system synthesis; uncertain systems; linear matrix inequalities; least mean squares methods; suspensions (mechanical components); fault diagnosis; observers; Markov processes; linear systems; robust control; networked control systems; asymptotic stability

Other keywords: sensor fault estimation error system; attack behaviour switching; sensor fault estimation problem; design method; linear robust observer; networked vehicle suspension system; deny-of-service attack; Markovian jumping process; Markovian jumping system approach; network-based vehicle suspension system; transition probabilities

Subjects: Algebra; Linear control systems; Mechanical components; Control system analysis and synthesis methods; Stability in control theory; Interpolation and function approximation (numerical analysis); Markov processes; Optimal control

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