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Smith predictor embedded with fractional algorithms for the control of a heat diffusion system

dc.contributor.authorJesus, Isabel S.
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-08T15:35:30Z
dc.date.embargo2109
dc.date.issued2009-09
dc.description.abstractIn this paper we study the control of a heat diffusion system based on the application of the fractional calculus concepts. In this perspective, several algorithms are investigated and compared, when integrated within a Smith predictor structure. Simulations are presented assessing the performance of the proposed fractional algorithms.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1115/DETC2009-87019pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13473
dc.language.isoengpt_PT
dc.publisherAmerican Society of Mechanical Engineerspt_PT
dc.relation.publisherversionhttp://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1649599pt_PT
dc.subjectAlgorithmspt_PT
dc.subjectThermal diffusionpt_PT
dc.titleSmith predictor embedded with fractional algorithms for the control of a heat diffusion systempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSan Diego, California, USApt_PT
oaire.citation.titleASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conferencept_PT
person.familyNameJesus
person.familyNameTenreiro Machado
person.givenNameIsabel S.
person.givenNameJ. A.
person.identifier.ciencia-id131A-D722-8D60
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0002-7545-5822
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id9333348500
person.identifier.scopus-author-id55989030100
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicatione7f8ed34-e3e4-49f5-815b-861c7f28936e
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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