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dc.contributor.authorIkhouane, Fayçal
dc.contributor.authorGiri, F.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III
dc.identifier.citationIkhouane, F.; Giri, F. A unified approach for the identification of SISO/MIMO Wiener and Hammerstein systems. A: IFAC Symposium on System Identification. "IFAC. 16th Symposium on System Identification". Brusel.les: 2012, p. 2-6.
dc.description.abstractHammerstein and Wiener models are nonlinear representations of systems composed by the coupling of a static nonlinearity N and a linear system L in the form N-L and L-N respectively. These models can represent real processes which made them popular in the last decades. The problem of identifying the static nonlinearity and linear system is not a trivial task, and has attracted a lot of research interest. It has been studied in the available literature either for Hammerstein or Wiener systems, and either in a discrete-time or continuous-time setting. The objective of this paper is to present a uni ed framework for the identification of these systems that is valid for SISO and MIMO systems, discrete and continuous-time setting, and with the only a priori knowledge that the system is either Wiener or Hammerstein.
dc.format.extent5 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::Anàlisi numèrica::Mètodes numèrics
dc.subject.lcshNonlinear systems--Automatic control--Mathematics
dc.titleA unified approach for the identification of SISO/MIMO Wiener and Hammerstein systems
dc.typeConference lecture
dc.subject.lemacAnàlisi de sistemes
dc.subject.lemacSistemes no lineals
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.rights.accessOpen Access
local.citation.authorIkhouane, F.; Giri, F.
local.citation.contributorIFAC Symposium on System Identification
local.citation.publicationNameIFAC. 16th Symposium on System Identification

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