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dc.contributor.authorBarreiro Gómez, Julián
dc.contributor.authorQuijano Silva, Nicanor
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2016-02-19T16:20:25Z
dc.date.issued2015
dc.identifier.citationBarreiro, J., Quijano, N., Ocampo-Martinez, C.A. Distributed resource management by using population dynamics : wastewater treatment application. A: Colombian Conference on Automatic Control. "2015 IEEE 2nd Colombian Conference on Automàtic Control (CCAC): conference proceedings: 14-16 October 2015 Manizales, Colombia". Manizales: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1-6.
dc.identifier.isbn978-1-4673-9305-8
dc.identifier.urihttp://hdl.handle.net/2117/83199
dc.description.abstractIndustrial processes commonly involve different sub-systems, each one of them with an associated controller. Moreover, although these sub-systems might be independent, the energy that the controllers use can be obtained from a limited common source. Furthermore, the total energy used in a control process might be limited because of economical reasons. A proper management of the energy resource would be achieved by having a central decision maker for this task using information of all the control signals. However, this centralized scheme would require an expensive communication network. As an alternative, the total available energy can be divided into the controllers within the process ensuring an upper bound of energy consumption. This work shows that dividing the resource throughout the controllers is not efficient regarding the control performance. Then, a distributed strategy is proposed to manage the available energy resource by using evolutionary game theory. Finally, the proposed strategy is implemented on a wastewater treatment system that considers a first stage given by an urban drainage system (UDS), and a final stage given by a non-drinkable water network (NDWN), i.e., water for streets cleaning, plants watering, etc. Simulation results show an improvement of the performance with the proposed methodology in comparison with an off-line resource management of energy.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshDrinking water -- Automatic contro
dc.subject.otheroptimal control
dc.subject.otheroptimisation
dc.subject.otherevolutionary game theory
dc.subject.otherdistributed control
dc.subject.otherdistributed resource allocation
dc.titleDistributed resource management by using population dynamics : wastewater treatment application
dc.typeConference report
dc.subject.lemacAigua potable -- Abastament -- Control automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1109/CCAC.2015.7345186
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7345186
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac17508519
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorBarreiro, J.; Quijano, N.; Ocampo-Martinez, C.A.
local.citation.contributorColombian Conference on Automatic Control
local.citation.pubplaceManizales
local.citation.publicationName2015 IEEE 2nd Colombian Conference on Automàtic Control (CCAC): conference proceedings: 14-16 October 2015 Manizales, Colombia
local.citation.startingPage1
local.citation.endingPage6


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