Data-Driven Event-Triggered Platoon Control under Denial-of-Service Attacks

This paper proposes an event-triggered model-free adaptive platoon control (MFAPC) solution for non-linear vehicle systems under denial-of-service (DoS) attacks. First, the non-linear vehicle system is transformed into an equivalent linear data model using the dynamic linearization technique. Second...

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Veröffentlicht in:Mathematics (Basel) 2022-11, Vol.10 (21), p.3985
Hauptverfasser: Li, Zengwei, Zhu, Lin, Wang, Zhenling, Che, Weiwei
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper proposes an event-triggered model-free adaptive platoon control (MFAPC) solution for non-linear vehicle systems under denial-of-service (DoS) attacks. First, the non-linear vehicle system is transformed into an equivalent linear data model using the dynamic linearization technique. Second, to save limited communication resources and reduce the influence of cyber attacks, a novel event-triggered mechanism and attack compensation method are designed. Then, based on the equivalent linear data model, a new resilient event-triggered MFAPC algorithm is developed to achieve the vehicle platoon control objective under DoS attacks. Finally, the effectiveness of the proposed control scheme is verified using an example.
ISSN:2227-7390
2227-7390
DOI:10.3390/math10213985