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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorBERCU, Bernard
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorVAZQUEZ, Victor
dc.date.issued2010
dc.identifier.issn0020-7179
dc.description.abstractEnThe usefulness of persistent excitation is well-known in the control community. Thanks to a persistently excited adaptive tracking control, we show that it is possible to avoid the strong controllability assumption recently proposed in the multidimensional ARX framework. We establish the almost sure convergence for both least squares and weighted least squares estimators of the unknown parameters. A central limit theorem and a law of iterated logarithm are also provided. All this asymptotical analysis is related to the Schur complement of a suitable limiting matrix.
dc.language.isoen
dc.publisherTaylor & Francis
dc.title.enOn the usefulness of persistent excitation in ARX adaptive tracking
dc.typeArticle de revue
dc.identifier.doi10.1080/00207171003642188
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.identifier.arxiv0903.2572
bordeaux.journalInternational Journal of Control
bordeaux.page1145-1154
bordeaux.volume83
bordeaux.issue6
bordeaux.peerReviewedoui
hal.identifierhal-00386177
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00386177v1
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