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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    Title :

    A Markovian based approach for autonomous space systems


    Contributors:


    Publication date :

    2015-06-01


    Size :

    457275 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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