This paper describes a stochastic dynamic programming based approach to solve sensor resource management (SRM) problems such as occur in tracking multiple targets with electronically scanned, multi-mode radar Specifically, it formulates the SRM problem as a stochastic scheduling problem and develops approximate solutions based on the Gittins index rule. Novel results include a hybrid state stochastic model for the information dynamics of tracked targets, an exact index rule solution of the SRM problem for a simplified tracking model, and use of approximate dynamic programming to extend the index rule solution to more realistic models.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stochastic dynamic programming based approaches to sensor resource management


    Beteiligte:
    Washburn, R.B. (Autor:in) / Schneider, M.K. (Autor:in) / Fox, J.J. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    613930 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Stochastic Dynamic Programming Based Approaches to Sensor Resource Management

    Washburn, R. / Schneider, M. / Fox, J. et al. | British Library Conference Proceedings | 2002


    Energy Management Strategy of Hybrid Electric Vehicle using Stochastic Dynamic Programming

    Lee, Heeyun / Kim, Hyunsup / Kim, Seok-Joon et al. | SAE Technical Papers | 2015



    Energy Management Strategy of Hybrid Electric Vehicle using Stochastic Dynamic Programming

    Lee, Heeyun / Cha, Suk Won / Kim, Hyunsup et al. | British Library Conference Proceedings | 2015


    Automated Flight Routing Using Stochastic Dynamic Programming

    Ng, Hok Kwan / Morando, Alex / Grabbe, Shon | AIAA | 2010