Mostrar el registro sencillo del ítem

dc.contributor.authorWang, Ye
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2016-07-27T13:44:34Z
dc.date.available2016-07-27T13:44:34Z
dc.date.issued2016-05-16
dc.identifier.citationWang, Y., Ocampo-Martinez, C.A., Puig, V. Stochastic model predictive control based on Gaussian processes applied to drinking water networks. "IET control theory and applications", 16 Maig 2016, vol. 10, núm. 8, p. 947-955.
dc.identifier.issn1751-8644
dc.identifier.urihttp://hdl.handle.net/2117/89276
dc.description.abstractThis study focuses on developing a stochastic model predictive control (MPC) strategy based on Gaussian processes (GPs) for propagating system disturbances in a receding horizon way. Using a probabilistic system representation, the state trajectories considering the influence of disturbances can be obtained through the uncertainty propagation by using GPs. This fact allows obtaining the confidence intervals for state evolutions over the MPC prediction horizon that are included into the MPC objective function and constraints. The feasibility of the proposed MPC strategy considering the incorporated results of disturbance forecasting is also discussed. Simulation results obtained from the application of the proposed approach to the Barcelona drinking water network taking real demand data into account are presented. The comparison with the well-known certainty-equivalent MPC shows the effectiveness of the proposed stochastic MPC approach.
dc.format.extent9 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherautomation
dc.subject.othercontrol theory
dc.subject.otheroptimisation
dc.subject.otherstochastic model predictive control
dc.subject.otherGaussian processes
dc.subject.otherdisturbance forecasting
dc.subject.otherdrinking water networks
dc.titleStochastic model predictive control based on Gaussian processes applied to drinking water networks
dc.typeArticle
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1049/iet-cta.2015.0657
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Control theory
dc.relation.publisherversionhttp://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0657
dc.rights.accessOpen Access
drac.iddocument18712608
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/DPI2013-48243-C2-1-R
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/DPI2014-58104-R
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/DPI2014-58104-R
upcommons.citation.authorWang, Y., Ocampo-Martinez, C.A., Puig, V.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIET control theory and applications
upcommons.citation.volume10
upcommons.citation.number8
upcommons.citation.startingPage947
upcommons.citation.endingPage955


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Salvo que se indique lo contrario, los contenidos de esta obra estan sujetos a la licencia de Creative Commons: Reconocimiento-NoComercial-SinObraDerivada 3.0 España