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dc.contributor.authorFambrini, Valentina
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2010-05-12T07:46:28Z
dc.date.available2010-05-12T07:46:28Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/2117/7175
dc.description.abstractIn this report, MPC strategies have been designed and tested for the global centralized and decentralized control of drinking water networks. Test have been performed in order to highlight the advantages of having a partition of a complex network in several subsystems. Despite the possible suboptimal solution of the optimization problems from the global point of view, the clear gain related to the computation times and loads has been demonstrated by means of the simulations and test developed here. The high correlation between system elements, i.e., the strong coupling of the network, makes impossible to have independent subsystems to be controlled by using a set of decoupled MPC controllers. Moreover, the necessity of a hierarchy scheme is discussed and interesting results are obtained from the mixture of techniques giving rise to a control law sharing decentralized and hierarchical features.
dc.language.isoeng
dc.relation.ispartofseriesIRI-DT-09-04
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària
dc.subject.lcshDrinking water -- Spain -- Barcelona
dc.titleModelling and decentralized model predictive control of drinking water networks: the Barcelona case study
dc.typeExternal research report
dc.subject.lemacAigua -- Abastament -- Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.rights.accessOpen Access
local.identifier.drac2253359
dc.description.versionPreprint
local.personalitzacitaciotrue


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain