This paper1 describes an original approach based on dynamic programming theory (discrete-time finite horizon Markov control) to address the difficult problem of computing optimal trajectories with respect to some criteria for any vehicle evolving in a given environment (in a probabilistic point of view) to accomplish some tasks (defined in a complex Lipschitz criteria). After a brief remind about dynamic programming The whole control process is detailled and applied in this paper for a submarine equipped with a sonar system which wants to detect targets as well as possible. Promising result about the optimal depth control for a submarine are presented with one and then two targets showing that the chosen approach is a good candidate.


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    Titel :

    Stochastic control for underwater optimal trajectories


    Beteiligte:
    Negre, Adrien (Autor:in) / Zhang, Huilong (Autor:in) / Marceau, Olivier (Autor:in) / De Saporta, Benoite (Autor:in) / Laneuville, Dann (Autor:in) / Dufour, Francois (Autor:in)


    Erscheinungsdatum :

    01.03.2012


    Format / Umfang :

    856086 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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