This paper deals with the motion planing in real-time for swarm of agents using distributed Model Predictive Control (DMPC). Optimization-based control helps both to stabilize the motion dynamics of the robots and to enforce the system's constraints. However, the price is a significant increase in complexity as the scale of the system surges. To improve the scalability for a large formation, we propose a DMPC framework that considers B-spline parameterizations for the agents' trajectories. The proposed approach has great promise for multi-drones system, as illustrated with simulation examples using a state of the art quadcopter model.


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    Titel :

    Online B-Spline Based Trajectory Planning for Swarm of Agents Using Distributed Model Predictive Control


    Beteiligte:
    Dinh, Cong Khanh (Autor:in) / Prodan, Ionela (Autor:in) / Stoican, Florin (Autor:in)


    Erscheinungsdatum :

    04.06.2024


    Format / Umfang :

    2264808 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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