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Fuzzy identification and predictive control of the alcoholic fermentation process

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dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorSalgado, Paulo
dc.contributor.authorCouto, Carlos
dc.date.accessioned2010-01-30T14:26:53Z
dc.date.available2010-01-30T14:26:53Z
dc.date.issued2007
dc.description.abstractIn this work a fuzzy identification model for yeast growth applied to the specific case of alcoholic fermentation is presented. Two fuzzy techniques were applied, namely the designated Mamdani modelling and the TSK (Takagi Sugeno Kang) modelling. The results were compared with the ones obtained with a deterministic model proposed by Boulton. A predictive controller is also presented and the results obtained compared with the usual PID controller. The obtained results for the identification models and for the controller showed that both methodologies can be applied to biological processes.pt
dc.identifier.citationIgrejas, Getlúio; Salgado, Paulo; Couto, Carlos (2007). Fuzzy identification and predictive control of the alcoholic fermentation process. In 4.ª Conferência de Engenharia "Engenharia' 2007 - Inovação e Desenvolvimento. Covilhãpt
dc.identifier.urihttp://hdl.handle.net/10198/1579
dc.language.isoengpt
dc.publisherUniversidade da Beira Interiorpt
dc.subjectFuzzy identificationpt
dc.subjectFermentationpt
dc.titleFuzzy identification and predictive control of the alcoholic fermentation processpt
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceCovilhãpt
oaire.citation.title4.ª Conferência de Engenharia "Engenharia' 2007 - Inovação e Desenvolvimentopt
person.familyNameIgrejas
person.givenNameGetúlio
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsopenAccesspt
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscoveryab4092ec-d1b1-4fe0-b65a-efba1310fd5a

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