Hierarchical fuzzy models within the framework of orthonormal basis functions and their application to bioprocess control

dc.creatorCampello, RJGB
dc.creatorVon Zuben, FJ
dc.creatorAmaral, WC
dc.creatorMeleiro, LAC
dc.creatorMaciel, R
dc.date2003
dc.dateSEP
dc.date2014-11-19T09:09:08Z
dc.date2015-11-26T17:04:33Z
dc.date2014-11-19T09:09:08Z
dc.date2015-11-26T17:04:33Z
dc.date.accessioned2018-03-28T23:52:50Z
dc.date.available2018-03-28T23:52:50Z
dc.identifierChemical Engineering Science. Pergamon-elsevier Science Ltd, v. 58, n. 18, n. 4259, n. 4270, 2003.
dc.identifier0009-2509
dc.identifierWOS:000185375200013
dc.identifier10.1016/S0009-2509(03)00309-9
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/68317
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/68317
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/68317
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1279379
dc.descriptionFuzzy models within the framework of orthonormal basis functions (OBF fuzzy models) have been introduced in previous works and shown to be a very promising approach to the areas of nonlinear system identification and control, since they exhibit several advantages over those dynamic model topologies usually adopted in the literature. As fuzzy models, however, they exhibit the dimensionality problem which is the main drawback to the application of neural networks and fuzzy systems to the modeling and control of large-scale systems. This problem has successfully been dealt with in the literature by means of hierarchical structures composed of submodels connected in cascade. In the present paper a hierarchical fuzzy model within the OBF framework is presented. A data-driven hybrid identification method based on genetic and gradient-based algorithms is described in details. A model-based predictive control scheme is also presented and applied to control of a complex industrial process for ethyl alcohol (ethanol) production. (C) 2003 Elsevier Ltd. All rights reserved.
dc.description58
dc.description18
dc.description4259
dc.description4270
dc.languageen
dc.publisherPergamon-elsevier Science Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationChemical Engineering Science
dc.relationChem. Eng. Sci.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjecthierarchical fuzzy models
dc.subjectorthonormal basis functions
dc.subjectpredictive control
dc.subjectbiotechnology
dc.subjectLaguerre
dc.subjectSystems
dc.subjectApproximation
dc.titleHierarchical fuzzy models within the framework of orthonormal basis functions and their application to bioprocess control
dc.typeArtículos de revistas


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