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dc.contributor.authorAkçay, Hüseyin
dc.date.accessioned2019-10-21T20:40:53Z
dc.date.available2019-10-21T20:40:53Z
dc.date.issued2004
dc.identifier.issn0005-1098
dc.identifier.urihttps://dx.doi.org/10.1016/j.automatica.2003.10.002
dc.identifier.urihttps://hdl.handle.net/11421/20550
dc.description13th IFAC Symposium on System Identification -- AUG 27-29, 2003 -- ROTTERDAM, NETHERLANDSen_US
dc.descriptionWOS: 000188418400007en_US
dc.description.abstractIn this paper, we study the size of the membership-set for system identification in a probabilistic framework. Assuming that the regressors are persistently exciting and the measurement noise is a sequence of independent, identically distributed bounded random variables, lower and upper non-asymptotic probability bounds on the membership-set diameter are obtained. These bounds are used in the computation of the confidence intervals for interpolatory estimatorsen_US
dc.description.sponsorshipIFACen_US
dc.language.isoengen_US
dc.publisherPergamon-Elsevier Science LTDen_US
dc.relation.isversionof10.1016/j.automatica.2003.10.002en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectParameter Estimationen_US
dc.subjectBounded Noiseen_US
dc.subjectMembership-Seten_US
dc.subjectDiameteren_US
dc.subjectError Analysisen_US
dc.subjectConfidence Intervalen_US
dc.titleThe size of the membership-set in a probabilistic frameworken_US
dc.typeconferenceObjecten_US
dc.relation.journalAutomaticaen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume40en_US
dc.identifier.issue2en_US
dc.identifier.startpage253en_US
dc.identifier.endpage260en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorAkçay, Hüseyin


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