Model predictive control of drinking water networks: a hierarchical and decentralized approach

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author	Ocampo-Martínez, Carlos
dc.contributor.author	Fambrini, Valentina
dc.contributor.author	Barcelli, Davide
dc.contributor.author	Puig Cayuela, Vicenç
dc.date	2010
dc.identifier.citation	Ocampo-Martinez, C. [et al.]. Model predictive control of drinking water networks: a hierarchical and decentralized approach. A: American Control Conference. "2010 American Control Conference". Baltimore: IEEE Press. Institute of Electrical and Electronics Engineers, 2010, p. 3951-3956.
dc.identifier.citation	978-1-4244-7425-7
dc.identifier.uri	http://hdl.handle.net/2117/10353
dc.language.iso	eng
dc.publisher	IEEE Press. Institute of Electrical and Electronics Engineers
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5530643
dc.relation	info:eu-repo/grantAgreement/EC/FP7/224168/EU/Decentralized and Wireless Control of Large-Scale Systems/WIDE
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Drinking water networks
dc.subject	Hierarchical control
dc.subject	Aigua -- Abastament -- Control
dc.subject	Classificació INSPEC::Control theory::Control system analysis
dc.title	Model predictive control of drinking water networks: a hierarchical and decentralized approach
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In this paper, a decentralized model predictive control (DMPC) strategy for drinking water networks (DWN)is proposed. The DWN is partitioned in a set of subnetworks using a partitioning algorithm that makes use of the topology of the network, the information about the actuator usage and heuristics. A suboptimal DMPC strategy was derived that allows the hierarchical solution of the set of MPC controllers used to control each partition. A comparative study between the centralized MPC (CMPC) and DMPC approaches is developed on the case study, which consists in an aggregate version of the Barcelona DWN. Results have shown the effectiveness of the proposed DMPC approach in terms of the computation time while an admissible level of suboptimality is obtained in all the considered scenarios.
dc.description.abstract	Peer Reviewed

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