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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorZHANG, Huilong
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorDE SAPORTA, Benoîte
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorDUFOUR, François
hal.structure.identifierDCNS Group [DCNS]
dc.contributor.authorLANEUVILLE, Dann
hal.structure.identifierDCNS Group [DCNS]
dc.contributor.authorNÈGRE, Adrien
dc.date.accessioned2024-04-04T02:18:12Z
dc.date.available2024-04-04T02:18:12Z
dc.date.created2014-05-14
dc.date.issued2014-07-10
dc.date.conference2014-07-07
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189292
dc.description.abstractEnWe present in this paper a numerical method which computes the trajectory of a vehicle subject to some mission objectives. The method is applied to a submarine whose goal is to best detect one or several targets (we consider signal attenuation due to acoustic propagation) or/and to minimize its own detection range perceived by the other targets. Our approach is based on dynamic programming of a finite horizon Markov decision process. The position and the velocity of the targets are supposed to be known only up to a random estimation error, as a Kalman type filter is used to estimate these quantities from the measurements given by the on board sonar. A quantization method is applied to fully discretize the problem and solve it numerically.
dc.language.isoen
dc.source.title17th International Conference on Information Fusion
dc.subject.enNon linear filtering
dc.subject.enQuantization
dc.subject.enMarkov decision processes
dc.subject.enDynamic programming
dc.subject.enUnderwater acoustic warfare
dc.title.enOptimal Trajectories for Underwater Vehicles by Quantization and Stochastic control
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.page8
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleFusion 2014
bordeaux.countryES
bordeaux.title.proceeding17th International Conference on Information Fusion
bordeaux.conference.citySalamanca
bordeaux.peerReviewedoui
hal.identifierhal-00990765
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2014-07-10
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00990765v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=17th%20International%20Conference%20on%20Information%20Fusion&rft.date=2014-07-10&rft.spage=8&rft.epage=8&rft.au=ZHANG,%20Huilong&DE%20SAPORTA,%20Beno%C3%AEte&DUFOUR,%20Fran%C3%A7ois&LANEUVILLE,%20Dann&N%C3%88GRE,%20Adrien&rft.genre=unknown


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