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

Autor: Zengwei Li, Lin Zhu, Zhenling Wang, Weiwei Che
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Mathematics, Vol 10, Iss 21, p 3985 (2022)
Druh dokumentu: article
ISSN: 2227-7390
DOI: 10.3390/math10213985
Popis: 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.
Databáze: Directory of Open Access Journals
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