Design of a supervisory predictive controller based on fuzzy models

dc.creatorSáez Hueichapan, Doris Andrea
dc.creatorCipriano, Aldo
dc.date.accessioned2022-05-13T19:15:14Z
dc.date.available2022-05-13T19:15:14Z
dc.date.created2022-05-13T19:15:14Z
dc.date.issued2001
dc.identifier10.1109/FUZZ.2001.1009130
dc.identifier078037293X
dc.identifierhttps://doi.org/10.1109/FUZZ.2001.1009130
dc.identifierhttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1009130
dc.identifierhttps://repositorio.uc.cl/handle/11534/63854
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.languageen
dc.publisherIEEE
dc.relationIEEE 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 models
dc.typecomunicación de congreso


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