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hal.structure.identifierInstituto de Ciências Mathemàticas e de Computação [São Carlos] [ICMC-USP]
dc.contributor.authorCOSTA, Eduardo
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut Montpelliérain Alexander Grothendieck [IMAG]
dc.contributor.authorDE SAPORTA, Benoîte
dc.date.accessioned2024-04-04T03:16:30Z
dc.date.available2024-04-04T03:16:30Z
dc.date.created2015
dc.date.issued2017
dc.identifier.issn0018-9286
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194218
dc.description.abstractEnNew linear minimum mean square estimators are introduced in this paper by considering a cluster information structure in the filter design. The set of filters constructed in this way can be ordered in a lattice according to the refines of clusters of the Markov chain, including the linear Markovian estimator at one end (with only one cluster) and the Kalman filter at the other hand (with as many clusters as Markov states). The higher is the number of clusters, the heavier are pre-compuations and smaller is the estimation error, so that the cluster cardinality allows for a trade-off between performance and computational burden. In this paper we propose the estimator, give the formulas for pre-computation of gains, present some properties, and give an illustrative numerical example.
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.enLinear minimum mean square filters for Markov jump linear systems
dc.typeArticle de revue
dc.identifier.doi10.1109/TAC.2017.2692180
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.identifier.arxiv1601.00772
bordeaux.journalIEEE Transactions on Automatic Control
bordeaux.page3567-3572
bordeaux.volume62
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue7
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01251334
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01251334v1
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