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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierThalès Optronique
dc.contributor.authorGEERAERT, Alizée
hal.structure.identifierInstitut Montpelliérain Alexander Grothendieck [IMAG]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
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
dc.date.accessioned2024-04-04T03:14:35Z
dc.date.available2024-04-04T03:14:35Z
dc.date.conference2016
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194070
dc.description.abstractEnPiecewise deterministic Markov processes (PDMPs) have been introduced by M.H.A. Davis as a general class of stochastic hybrid models.The path of a PDMP consists of deterministic trajectories punctuated by random jumps. These jumps occur either spontaneously in a Poisson like fashion or deterministically when the process hits the boundary of the state space. We consider the infinite horizon expected discounted impulse control problem where the controller instantaneously moves the process to a new point of the state space at some specified time. There exists an extensive literature related to the study of the optimality equation associated to such control problems but few works are devoted to the characterization of (quasi)optimal strategy. Our objective is to propose an approach to explicitly construct such strategies consisting of a sequence of intervention times and locations of the process after intervention. An attempt in this direction has been proposed by O.L.V. Costa and M.H.A. Davis. Roughly speaking, one step oftheir approach consists in solving an optimal stopping problem which makes this technique quite difficult to implement. Our method hasthe advantage of being constructive and is loosely speaking based on the iteration of a single-jump-or-intervention operator associated to anauxiliary PDMP. Moreover, it is important to emphasize that we do not require the knowledge of the optimal value function as in other works of the literature.
dc.description.sponsorshipErgodicité, contrôle et statistique pour les PDMP - ANR-12-JS01-0006
dc.language.isoen
dc.title.enImpulse control of piecewise deterministic processes
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title28th European Conference on Operational Research
bordeaux.countryPL
bordeaux.conference.cityPoznan
bordeaux.peerReviewedoui
hal.identifierhal-01336314
hal.version1
hal.invitedoui
hal.proceedingsnon
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01336314v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=GEERAERT,%20Aliz%C3%A9e&DE%20SAPORTA,%20Beno%C3%AEte&DUFOUR,%20Fran%C3%A7ois&rft.genre=unknown


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