Extending the SRIV algorithm to LMFD models

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dc.contributor.authorAkroum, Mohamed
dc.contributor.authorHariche, Kamel
dc.date.accessioned2015-04-14T14:20:43Z
dc.date.available2015-04-14T14:20:43Z
dc.date.issued2009
dc.description.abstractIn this paper the Simplified Refined Instrumental Variable (SRIV) identification algorithm for SISO systems is extended to MIMO systems described by a Left Matrix Fraction Description (LMFD). The performance of the extended algorithm is compared to the well-known MIMO four-step instrumental variable (IV4) algorithm. Monte Carlo simulations for different signal to noise ratios are conducted to assess the performance of the algorithm. Moreover, the algorithm is applied to a simulated quadruple tank processen_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/jspui/handle/123456789/355
dc.language.isoenen_US
dc.relation.ispartofseriesJournal of electrical engineering & technology/ Vol.4, N°1 (2009);pp. 135-142
dc.subjectMIMO system identificationen_US
dc.subjectSRIVen_US
dc.subjectLMFDen_US
dc.subjectIV4en_US
dc.subjectSteiglitz-McBrideen_US
dc.titleExtending the SRIV algorithm to LMFD modelsen_US
dc.typeArticleen_US

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