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hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut Montpelliérain Alexander Grothendieck [IMAG]
dc.contributor.authorDE SAPORTA, Benoîte
hal.structure.identifierInstituto de Ciências Mathemàticas e de Computação [São Carlos] [ICMC-USP]
dc.contributor.authorCOSTA, Eduardo
dc.date.accessioned2024-04-04T03:20:43Z
dc.date.available2024-04-04T03:20:43Z
dc.date.created2014-09-09
dc.date.issued2016
dc.identifier.issn0018-9286
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194610
dc.description.abstractEnThe aim of this paper is to propose a new numerical approximation of the Kalman-Bucy filter for semi-Markov jump linear systems. This approximation is based on the selection of typical trajectories of the driving semi-Markov chain of the process by using an optimal quantization technique. The main advantage of this approach is that it makes pre-computations possible. We derive a Lipschitz property for the solution of the Riccati equation and a general result on the convergence of perturbed solutions of semi-Markov switching Riccati equations when the perturbation comes from the driving semi-Markov chain. Based on these results, we prove the convergence of our approximation scheme in a general infinite countable state space framework and derive an error bound in terms of the quantization error and time discretization step. We employ the proposed filter in a magnetic levitation example with markovian failures and compare its performance with both the Kalman-Bucy filter and the Markovian linear minimum mean squares estimator.
dc.description.sponsorshipErgodicité, contrôle et statistique pour les PDMP - ANR-12-JS01-0006
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.title.enApproximate Kalman-Bucy filter for continuous-time semi-Markov jump linear systems
dc.typeArticle de revue
dc.identifier.doi10.1109/TAC.2015.2495578
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.identifier.arxiv1409.2631
bordeaux.journalIEEE Transactions on Automatic Control
bordeaux.page2035 - 2048
bordeaux.volume61
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue8
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01062618
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01062618v1
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