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dc.contributor.authorGiri, F.
dc.contributor.authorRochdi, Y.
dc.contributor.authorIkhouane, Fayçal
dc.contributor.authorBrouri, A
dc.contributor.authorChaoui, F.Z
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III
dc.identifier.citationGiri, F. [et al.]. Frequency identification of Wiener systems with Backlash operators using separable least squares estimators. A: IFAC Symposium on System Identification. "IFAC. 16th Symposium on System Identification". Brusel.les: 2012, p. 262-267.
dc.description.abstractThis paper deals with the identification of Wiener models that involve backlash operators bordered by possibly noninvertible parametric lines. The latter are also allowed to cross each other making possible to account for general-shape static nonlinearities. The linear dynamic subsystem is not-necessarily parametric but is BIBO stable. A frequency identification method is developed that provides estimates of the nonlinear operator parameters as well as estimates of the linear subsystem frequency gain. The method involves standard and separable least squares estimators that all are shown to be consistent. Backlash operators and memoryless nonlinearities are handled within a unified framework.
dc.format.extent6 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subject.lcshAutomatic control
dc.titleFrequency identification of Wiener systems with Backlash operators using separable least squares estimators
dc.typeConference lecture
dc.subject.lemacControl automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. CODALAB - Control, Dinàmica i Aplicacions
dc.rights.accessOpen Access
upcommons.citation.authorGiri, F.; Rochdi, Y.; Ikhouane, F.; Brouri, A.; Chaoui, F.
upcommons.citation.contributorIFAC Symposium on System Identification
upcommons.citation.publicationNameIFAC. 16th Symposium on System Identification

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