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

Twan Keijzer; Riccardo M.G. Ferrari

doi:10.1109/CDC40024.2019.9029315

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

Team Jan-Willem van Wingerden

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

20 Citations (Scopus)

47 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings 2019 IEEE 58th Conference on Decision and Control (CDC 2019)
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	5742-5747
ISBN (Electronic)	978-1-7281-1398-2
DOIs	https://doi.org/10.1109/CDC40024.2019.9029315
Publication status	Published - 2019
Event	58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France Duration: 11 Dec 2019 → 13 Dec 2019

Conference

Conference	58th IEEE Conference on Decision and Control, CDC 2019
Country/Territory	France
City	Nice
Period	11/12/19 → 13/12/19

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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10.1109/CDC40024.2019.9029315

09029315Final published version, 1.63 MB

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@inproceedings{dbd4d5c88f8b4c3e9d8289fe8064aecb,

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

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.",

author = "Twan Keijzer and Ferrari, {Riccardo M.G.}",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 58th IEEE Conference on Decision and Control, CDC 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

doi = "10.1109/CDC40024.2019.9029315",

language = "English",

pages = "5742--5747",

booktitle = "Proceedings 2019 IEEE 58th Conference on Decision and Control (CDC 2019)",

publisher = "IEEE",

address = "United States",

}

Keijzer, T & Ferrari, RMG 2019, A sliding mode observer approach for attack detection and estimation in Autonomous Vehicle Platoons using event triggered communication. in Proceedings 2019 IEEE 58th Conference on Decision and Control (CDC 2019). IEEE, Piscataway, NJ, USA, pp. 5742-5747, 58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, 11/12/19. https://doi.org/10.1109/CDC40024.2019.9029315

A sliding mode observer approach for attack detection and estimation in Autonomous Vehicle Platoons using event triggered communication. / Keijzer, Twan; Ferrari, Riccardo M.G.
Proceedings 2019 IEEE 58th Conference on Decision and Control (CDC 2019). Piscataway, NJ, USA: IEEE, 2019. p. 5742-5747.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2019

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AB - 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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DO - 10.1109/CDC40024.2019.9029315

M3 - Conference contribution

SP - 5742

EP - 5747

BT - Proceedings 2019 IEEE 58th Conference on Decision and Control (CDC 2019)

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 58th IEEE Conference on Decision and Control, CDC 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

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

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