This paper presents a framework based on stochastic dynamic programming that facilitates the implementation of collaborative fault detection through conflict resolution. A conflict arises when two fault detectors draw opposing conclusions regarding the presence of a fault. We use stochastic dynamic programming to optimally resolve conflicts and to control data gathering actions that can improve decision-making. Since stochastic dynamic programming suffers from the curse of dimensionality, we also present and evaluate an approximate dynamic programming (ADP) approach based on decomposition of states, solving decomposed MDPs, and recombination of value functions. A spacecraft fault detection example is included to demonstrate the implementation of the proposed framework and of the corresponding ADP approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Conflict resolution and collaborative fault detection using stochastic dynamic programming


    Beteiligte:
    Nasir, Ali (Autor:in) / Atkins, Ella M. (Autor:in) / Kolmanovsky, Ilya V. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2012-03-01


    Format / Umfang :

    903900 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Conflict Resolution Algorithms for Fault Detection and Diagnosis

    Nasir, Ali / Atkins, Ella / Kolmanovsky, Ilya | AIAA | 2011


    Conflict Resolution Algorithms for Fault Detection and Diagnosis

    Nasir, A. / Atkins, E. / Kolmanovsky, I. et al. | British Library Conference Proceedings | 2011


    A Dynamic Programming Approach for Aircraft Conflict Detection

    Ding, J. / Tomlin, C. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2009


    A Dynamic Programming Approach for Aircraft Conflict Detection

    Ding, Jerry / Tomlin, Claire | AIAA | 2009