Control Of A Bioprocess Using Orthonormal Basis Function Fuzzy Models

dc.creatorCampello R.J.G.B.
dc.creatorMeleiro L.A.C.
dc.creatorAmaral W.C.
dc.date2004
dc.date2015-06-26T14:24:30Z
dc.date2015-11-26T14:13:27Z
dc.date2015-06-26T14:24:30Z
dc.date2015-11-26T14:13:27Z
dc.date.accessioned2018-03-28T21:14:13Z
dc.date.available2018-03-28T21:14:13Z
dc.identifier780383532
dc.identifierIeee International Conference On Fuzzy Systems. , v. 2, n. , p. 801 - 806, 2004.
dc.identifier10987584
dc.identifier10.1109/FUZZY.2004.1375504
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-11144329656&partnerID=40&md5=fe9211593efa0869077c709183224d96
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/94486
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/94486
dc.identifier2-s2.0-11144329656
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1242284
dc.descriptionFuzzy models within the framework of orthonormal basis functions (OBF Fuzzy Models) were introduced in previous works and have shown to be a very promising approach to the areas of non-linear system identification and control since they exhibit several advantages over those dynamic model architectures usually adopted in the literature. In the present paper these models are reviewed and used as a basis for a predictive control scheme which is applied to the control of a process for ethyl alcohol (ethanol) production.
dc.description2
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dc.languageen
dc.publisher
dc.relationIEEE International Conference on Fuzzy Systems
dc.rightsfechado
dc.sourceScopus
dc.titleControl Of A Bioprocess Using Orthonormal Basis Function Fuzzy Models
dc.typeActas de congresos


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