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.
Dynamic Relationship based Data-driven Formation Control for Connected Vehicles
09.05.2025
2253597 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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