A fuzzy inference system for identification of crossflow filtration process

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dc.contributor.authorDa Silva, Ivan Nunes [UNESP]
dc.contributor.authorRazuk, Paulo Cezar [UNESP]
dc.contributor.authorFlauzino, Rogerio Andrade [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:55:30Z
dc.date.available2022-04-28T19:55:30Z
dc.date.issued2001-12-01
dc.description.abstractThe crossflow filtration process differs of the conventional filtration by presenting the circulation flow tangentially to the filtration surface. The conventional mathematical models used to represent the process have some limitations in relation to the identification and generalization of the system behavior. In this paper, a system based on fuzzy logic systems is developed to overcome the problems usually found in the conventional mathematical models. Imprecisions and uncertainties associated with the measurements made on the system are automatically incorporated in the fuzzy approach. Simulation results are presented to justify the validity of the proposed approach.en
dc.description.affiliationDepartment of Electrical Engineering State University of Sao Paulo -UNESP, CP 473, Bauru, Sao Paulo, CEP 17033-360
dc.description.affiliationUnespDepartment of Electrical Engineering State University of Sao Paulo -UNESP, CP 473, Bauru, Sao Paulo, CEP 17033-360
dc.format.extent1527-1530
dc.identifier.citationIEEE International Conference on Fuzzy Systems, v. 3, p. 1527-1530.
dc.identifier.scopus2-s2.0-0036349511
dc.identifier.urihttp://hdl.handle.net/11449/224253
dc.language.isoeng
dc.relation.ispartofIEEE International Conference on Fuzzy Systems
dc.sourceScopus
dc.titleA fuzzy inference system for identification of crossflow filtration processen
dc.typeTrabalho apresentado em evento

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Artigos - Engenharia Elétrica - FEB