dc.creator | Muros Ponce, Francisco Javier | es |
dc.creator | Maestre Torreblanca, José María | es |
dc.creator | Ocampo-Martínez, Carlos | es |
dc.creator | Algaba Durán, Encarnación | es |
dc.creator | Camacho, Eduardo F. | es |
dc.date.accessioned | 2020-03-30T18:00:35Z | |
dc.date.available | 2020-03-30T18:00:35Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Muros Ponce, F.J., Maestre Torreblanca, J.M., Ocampo-Martínez, C., Algaba Durán, E. y Fernández Camacho, E. (2018). A Game Theoretical Randomized Method for Large-Scale Systems Partitioning. IEEE Access, 6, 42245-42263. | |
dc.identifier.issn | ESSN 2169-3536 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94703 | |
dc.description.abstract | In this paper, a game theory-based partitioning algorithm for large-scale systems (LSS) is
proposed. More speci cally, a game over nodes is introduced in a model predictive control framework. The
Shapley value of this game is used to rank the communication links of the control network based on their
impact on the overall system performance. A randomized method to estimate the Shapley value of each
node and also an ef cient redistribution of the resulting value to the links involved are considered to relieve
the combinatorial explosion issues related to LSS. Once the partitioning solution is obtained, a sensitivity
analysis is proposed to give a measure of its performance. Likewise, a greedy ne tuning procedure is
considered to increase the optimality of the partitioning results. The full Barcelona drinking water network
is analyzed as a real LSS case study, showing the effectiveness of the proposed approach in comparison with
other partitioning schemes available in the literature. | es |
dc.description.sponsorship | European Union (UE). FP7-ICT-ICT-2013.3.4-611281 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad (MINECO). España DPI2016-78338-R, DPI2017-86918-R | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad (MINECO). España ECO2015-68856-P, DPI2016-76493-C3-3-R | es |
dc.format | application/pdf | es |
dc.format.extent | 19 p. | es |
dc.language.iso | eng | es |
dc.publisher | IEEE | es |
dc.relation.ispartof | IEEE Access, 6, 42245-42263. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Coalitional control | es |
dc.subject | Cooperative game theory | es |
dc.subject | System partitioning | es |
dc.subject | Randomized methods | es |
dc.subject | Shapley value | es |
dc.subject | Large-scale systems (LSS) | es |
dc.subject | Drinking water networks (DWN) | es |
dc.title | A Game Theoretical Randomized Method for Large-Scale Systems Partitioning | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada II (ETSI) | es |
dc.relation.projectID | FP7-ICT-ICT-2013.3.4-611281 | es |
dc.relation.projectID | DPI2016-78338-R | es |
dc.relation.projectID | DPI2017-86918-R | es |
dc.relation.projectID | ECO2015-68856-P | es |
dc.relation.projectID | DPI2016-76493-C3-3-R | es |
dc.relation.publisherversion | http://dx.doi.org/10.1109/ACCESS.2018.2854783 | es |
dc.identifier.doi | 10.1109/ACCESS.2018.2854783 | es |
dc.journaltitle | IEEE Access | es |
dc.publication.volumen | 6 | es |
dc.publication.initialPage | 42245 | es |
dc.publication.endPage | 42263 | es |
dc.identifier.sisius | 21614632 | |
dc.contributor.funder | European Union (UE) | |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | |