Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Data‐driven resilient platooning control for vehicular platooning systems with denial‐of‐service attacks
Ist Teil von
International journal of robust and nonlinear control, 2022-08, Vol.32 (12), p.7099-7112
Ort / Verlag
Bognor Regis: Wiley Subscription Services, Inc
Erscheinungsjahr
2022
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
This article addresses the data‐driven resilient platooning control problem for nonlinear vehicular platooning systems with denial‐of‐service attacks. First, the dynamic linearization technique is used for transforming the nonlinear vehicular platooning systems into an equivalent linear data model with robustness. Then, an observer is designed to present the estimation of the pseudo‐partial derivative parameter and a novel model‐free adaptive platooning control (MFAPC) framework is presented by defining a novel vehicular platooning system output. Based on this framework, a novel MFAPC algorithm is designed with an attack compensation mechanism to achieve vehicular platooning control objectives. At last, the effectiveness of the MFAPC algorithm is proved by an example with comparisons.