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dc.contributor.author | Barreiro-Gómez, Julian | - |
dc.contributor.author | Ocampo-Martínez, Carlos | - |
dc.contributor.author | Quijano, Nicanor | - |
dc.contributor.author | Maestre, Jose Maria | - |
dc.date.accessioned | 2018-06-20T12:04:11Z | - |
dc.date.available | 2018-06-20T12:04:11Z | - |
dc.date.issued | 2017 | - |
dc.identifier | doi: 10.1016/j.jfranklin.2017.06.021 | - |
dc.identifier | issn: 0016-0032 | - |
dc.identifier.citation | Journal of the Franklin Institute 354(14): 5771-5796 (2017) | - |
dc.identifier.uri | http://hdl.handle.net/10261/166747 | - |
dc.description.abstract | This paper solves a data-driven control problem for a flow-based distribution network with two objectives: a resource allocation and a fair distribution of costs. These objectives represent both cooperation and competition directions. It is proposed a solution that combines either a centralized or distributed cooperative game approach using the Shapley value to determine a proper partitioning of the system and a fair communication cost distribution. On the other hand, a decentralized noncooperative game approach computing the Nash equilibrium is used to achieve the control objective of the resource allocation under a non-complete information topology. Furthermore, an invariant-set property is presented and the closed-loop system stability is analyzed for the non-cooperative game approach. Another contribution regarding the cooperative game approach is an alternative way to compute the Shapley value for the proposed specific characteristic function. Unlike the classical cooperative-games approach, which has a limited application due to the combinatorial explosion issues, the alternative method allows calculating the Shapley value in polynomial time and hence can be applied to large-scale problems. | - |
dc.description.sponsorship | Authors would like to thank COLCIENCIAS (grant 6172) and Agència de Gestió d’Ajust Universitaris i de Recerca AGAUR (FI 2014) for supporting J. Barreiro-Gomez. Authors also would like to thank the projects DEOCS (Ref. DPI2016-76493-C3-3-R), “Control Predictivo en Red” (Ref. DPI2008-05818) from the Spanish Ministry of Science and Education; and the European project FP7-ICT DYMASOS (grant agreement 611281), which have partially supported this work. | - |
dc.publisher | Elsevier | - |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-76493-C3-3-R | - |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/611281 | - |
dc.relation.isversionof | Postprint | - |
dc.rights | openAccess | en_EN |
dc.title | Non-centralized control for flow-based distribution networks: A game-theoretical insight | - |
dc.type | artículo | - |
dc.identifier.doi | 10.1016/j.jfranklin.2017.06.021 | - |
dc.relation.publisherversion | https://doi.org/10.1016/j.jfranklin.2017.06.021 | - |
dc.embargo.terms | 2019-07-12 | - |
dc.date.updated | 2018-06-20T12:04:11Z | - |
dc.description.version | Peer Reviewed | - |
dc.language.rfc3066 | eng | - |
dc.rights.license | http://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.contributor.funder | European Commission | - |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | - |
dc.contributor.funder | Generalitat de Catalunya | - |
dc.contributor.funder | Colciencias (Colombia) | - |
dc.contributor.funder | Ministerio de Educación y Ciencia (España) | - |
dc.relation.csic | Sí | - |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100002809 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.openairetype | artículo | - |
item.fulltext | With Fulltext | - |
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