On-board autonomy is becoming a crucial aspect of currently developed and future space projects, especially for deep space exploration missions. In the near future, spacecrafts will be able to receive, process and achieve high-level goals even in an uncertain or dynamically varying context. This paper presents a Markovian based approach in order to model on-board autonomy mechanisms. This approach fits the three layered autonomous space systems architecture and integrates a partially observable non-homogenous Markov model for the decisional layer with a Markov decision process for the operational layer. Autonomous spacecraft reconfigurability is particularly addressed.


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    Titel :

    A Markovian based approach for autonomous space systems


    Beteiligte:
    Tipaldi, Massimo (Autor:in) / Glielmo, Luigi (Autor:in)


    Erscheinungsdatum :

    01.06.2015


    Format / Umfang :

    457275 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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