Hybrid modeling and predictive control for hydrometallurgical processes

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dc.contributor.authorKarelovic, P.
dc.contributor.authorCipriano, Aldo
dc.date.accessioned2022-05-13T19:15:18Z
dc.date.available2022-05-13T19:15:18Z
dc.date.issued2014
dc.description.abstractModel-based control strategies rely heavily on precise models to make accurate predictions. In mineral processing, particularly, due to complexities such as strong nonlinearities, variable coupling, time varying parameters, etc.; the development of accurate process models becomes an increasingly difficult task. Additionally, the ability to simulate process behavior without having to disturb plant operation prevents the loss of man-hours and production.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/ECC.2014.6862569
dc.identifier.isbn978-3952426913
dc.identifier.urihttps://doi.org/10.1109/ECC.2014.6862569
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6862569
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63881
dc.information.autorucEscuela de ingeniería ; Cipriano Zamorano, Aldo ; S/I ; 99102
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofEuropean Control Conference (2014 : Strasbourg, Francia)
dc.rightsacceso restringido
dc.subjectMathematical model
dc.subjectIntegrated circuit modeling
dc.subjectMinerals
dc.subjectBelts
dc.subjectProcess control
dc.subjectLeaching
dc.subjectPredictive models
dc.titleHybrid modeling and predictive control for hydrometallurgical processeses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados99102
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