This paper deals with a new modeling method and a powerful planning approach for deep space probes. The key technique is based on the concept of extended state model. Furthermore, extended state model planning (ESMP) algorithm is designed to be fully compliant with the model, and flaw selection strategies are proposed to avoid redundant work. Finally, we discuss the time complexity of ESMP, and computational results comparing ESMP with the algorithm in Europa are presented.


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    Titel :

    Extended State-Based Planning Approach for Deep Space Exploration


    Beteiligte:
    Jin, Hao (Autor:in) / Xu, Rui (Autor:in) / Xu, Wenming (Autor:in) / Zhu, Shengying (Autor:in)


    Erscheinungsdatum :

    01.02.2020


    Format / Umfang :

    2752767 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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