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dc.rights.licenseopenen_US
dc.contributor.authorWILSON, E. D.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorCLAIRON, Quentin
dc.contributor.authorTAYLOR, C. J.
dc.date.accessioned2021-01-07T09:46:02Z
dc.date.available2021-01-07T09:46:02Z
dc.date.issued2018-02
dc.identifier.issn0013-5194 1350-911Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/23725
dc.description.abstractEnThe optimal refined instrumental variable method for the estimation of the Box-Jenkins (BJ) model is modified so that it functions as an optimal filter and state-estimation algorithm. In contrast to the previously developed minimal and non-minimal state-space (NMSS) forms for an Auto-Regressive Moving Average with eXogenous variables (ARMAX) model, the new algorithm requires the introduction of a novel extended NMSS form. This facilitates representation of the more general noise component of the BJ model. The approach can be used for adaptive filtering and state variable feedback control.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enSISTM
dc.title.enNon-minimal state-space polynomial form of the Kalman filter for a general noise model
dc.title.alternativeElectronics Lettersen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1049/el.2017.3577en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.journalElectronics Lettersen_US
bordeaux.page204-206en_US
bordeaux.volume54en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue4en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamSISTM_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03165492
hal.version1
hal.date.transferred2021-03-10T15:35:18Z
hal.exporttrue
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