This paper investigates the longitudinal formation control problem of vehicles by learning from the connected autonomous vehicle systems. Firstly, a linear data model formulating the dynamic relationships between a vehicle and all its neighbor vehicles is established. Subsequently, based on the linear data model, a data-driven formation control method that encompasses a control law and a parameter updating law is devised. The proposed method is data driven and can learn the protocols of neighbor vehicles. Finally, the validity of the proposed scheme is substantiated via simulations.


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    Titel :

    Dynamic Relationship based Data-driven Formation Control for Connected Vehicles


    Beteiligte:
    Wu, Bingyang (Autor:in) / Hui, Yu (Autor:in) / Chi, Ronghu (Autor:in)


    Erscheinungsdatum :

    09.05.2025


    Format / Umfang :

    2253597 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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