Show simple item record

dc.contributor.authorRomano, Rodrigo Alvite
dc.contributor.authorPait, Felipe
dc.contributor.authorFerrao, Rafael Corsi
dc.date.accessioned2024-10-11T16:26:01Z
dc.date.available2024-10-11T16:26:01Z
dc.date.issued2015
dc.identifier.citationProc IEEE Conf Decis Control
dc.identifier.isbn978-147997886-1
dc.identifier.issn0743-1546
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84962004093&doi=10.1109%2fCDC.2015.7402730&partnerID=40&md5=79dbc50d376458604d2f93293f11002f
dc.identifier.urihttps://repositorio.maua.br/handle/MAUA/802
dc.description.abstractIdentification of linear time-invariant multivariable systems can best be understood as comprising three separate problems: selection of system model structure, filter design, and parameter estimation itself. In previous contributions we approached the first using matchable-observable models originally developed in the adaptive control literature, and used direct or derivative-free optimization to design filters. In this paper we show a simple and effective structure-selection method and demonstrate its accuracy, robustness and moderate computational demands using data from an industrial evaporator and experimental results with a twin rotor. © 2015 IEEE.en
dc.languageInglêspt_BR
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.relation.ispartofProceedings of the IEEE Conference on Decision and Control
dc.relation.haspart54th IEEE Conference on Decision and Control, CDC 2015
dc.rightsAcesso Restrito
dc.sourceScopusen
dc.subjectMultivariable systemsen
dc.subjectOptimizationen
dc.subjectAdaptive Controlen
dc.subjectComputational demandsen
dc.subjectDerivative-free optimizationen
dc.subjectFilter designsen
dc.subjectLinear time invarianten
dc.subjectMultivariable identificationsen
dc.subjectStructure selectionen
dc.subjectTwin-rotorsen
dc.subjectStructural designen
dc.titleMatchable-observable linear models for multivariable identification: Structure selection and experimental resultsen
dc.typeTrabalho apresentado em eventopt_BR
dc.identifier.doi10.1109/CDC.2015.7402730
dc.description.affiliationEscola de Engenharia Mauá, Instituto Mauá de Tecnologia, São Caetano do Sul, SP, Brazil
dc.description.affiliationEscola Politécnica da Universidade de São Paulo, SP, Brazil
dc.identifier.scopus2-s2.0-84962004093pt_BR
dc.citation.epage3396
dc.citation.spage3391
dc.citation.volume54rd IEEE Conference on Decision and Control,CDC 2015


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record