Design of a supervisory predictive controller based on fuzzy models

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dc.contributor.authorSáez Hueichapan, Doris Andrea
dc.contributor.authorCipriano, Aldo
dc.date.accessioned2022-05-13T19:15:14Z
dc.date.available2022-05-13T19:15:14Z
dc.date.issued2001
dc.description.abstractIn this paper, a supervisory optimal control problem is presented. Fuzzy modelling is used to represent the non-linearity of the process and two alternative fuzzy predictors are described in order to solve the optimisation problem at the supervisory level. The proposed fuzzy predictive controllers are successfully applied to a benchmark problem.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/FUZZ.2001.1009130
dc.identifier.isbn078037293X
dc.identifier.urihttps://doi.org/10.1109/FUZZ.2001.1009130
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1009130
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63854
dc.information.autorucEscuela de ingeniería ; Sáez Hueichapan, Doris Andrea ; S/I ; 1502
dc.information.autorucEscuela de ingeniería ; Cipriano Zamorano, Aldo ; S/I ; 99102
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE International Conference on Fuzzy Systems (10° : 2001 : Melbourne, Australia)
dc.rightsacceso restringido
dc.subjectFuzzy control
dc.subjectPredictive models
dc.subjectSampling methods
dc.subjectPredictive control
dc.subjectPrediction algorithms
dc.subjectMIMO
dc.subjectControl systems
dc.subjectOptimal control
dc.subjectAdaptive algorithm
dc.subjectStability analysis
dc.titleDesign of a supervisory predictive controller based on fuzzy modelses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados1502
sipa.codpersvinculados99102
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