A sliding mode observer approach for attack detection and estimation in Autonomous Vehicle Platoons using event triggered communication

Conference Paper (2019)
Author(s)

Twan Keijzer (TU Delft - Team Jan-Willem van Wingerden)

Riccardo Ferrari (TU Delft - Team Jan-Willem van Wingerden)

Research Group
Team Jan-Willem van Wingerden
Copyright
© 2019 T. Keijzer, Riccardo M.G. Ferrari
DOI related publication
https://doi.org/10.1109/CDC40024.2019.9029315
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 T. Keijzer, Riccardo M.G. Ferrari
Research Group
Team Jan-Willem van Wingerden
Pages (from-to)
5742-5747
ISBN (electronic)
978-1-7281-1398-2
Reuse Rights

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Abstract

Platoons of autonomous vehicles are being investigated as a way to increase road capacity and fuel efficiency. Cooperative Adaptive Cruise Control (CACC) is one approach to controlling platoons longitudinal dynamics, which requires wireless communication between vehicles. In the present paper we use a sliding mode observer to detect and estimate cyber-attacks threatening such wireless communication. In particular we prove stability of the observer and robustness of the detection threshold in the case of event-triggered communication, following a realistic Vehicle-to-Vehicle network protocol.

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