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dc.creatorPauca, Ovidiues
dc.creatorMaxim, Ancaes
dc.creatorMaestre Torreblanca, José Maríaes
dc.creatorCaruntu, Constantin F.es
dc.date.accessioned2024-03-05T10:21:47Z
dc.date.available2024-03-05T10:21:47Z
dc.date.issued2023-07
dc.identifier.citationPauca, O., Maxim, A., Maestre, J.M. y Caruntu, C.F. (2023). Bio-inspired control by overlapping adaptive clusters: a vehicle platoon case study. En 22nd IFAC World Congress. IFAC-PapersOnLine, Volume 56, Issue 2 (1460-1465), Yokohama, Japan: Elsevier / International Federation of Automatic Control (IFAC).
dc.identifier.isbn9781713872344es
dc.identifier.issn2405-8963es
dc.identifier.urihttps://hdl.handle.net/11441/155827
dc.descriptionCopyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license. Peer review under responsibility of International Federation of Automatic Control.es
dc.description.abstractClustering vehicles in a platoon by exchanging information through communication networks leads to an improvement in their performance with a moderate cooperation effort. In particular, in this paper, a bio-inspired methodology for overlapping coalitions of vehicles is proposed, which optimizes communication and control performance. The results obtained using the proposed adaptive clusters method are compared with the ones obtained by a conventional coalitional control strategy, and the comparison illustrates the improved efficiency of the proposed method.es
dc.formatapplication/pdfes
dc.format.extent6 p.es
dc.language.isoenges
dc.publisherElsevier / International Federation of Automatic Control (IFAC)es
dc.relation.ispartof22nd IFAC World Congress. IFAC-PapersOnLine, Volume 56, Issue 2 (2023), pp. 1460-1465.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBio-inspired controles
dc.subjectCoalitional controles
dc.subjectOverlapping topologyes
dc.subjectVehicle platoones
dc.titleBio-inspired control by overlapping adaptive clusters: a vehicle platoon case studyes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería de Sistemas y Automáticaes
dc.relation.projectIDPID2020-119476RB-100es
dc.relation.projectIDMCIN/AEI/10.13039/501100011033es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896323022413es
dc.identifier.doi10.1016/j.ifacol.2023.10.1832es
dc.contributor.groupUniversidad de Sevilla. TEP116: Automática y Robótica Industriales
dc.publication.initialPage1460es
dc.publication.endPage1465es
dc.eventtitle22nd IFAC World Congress. IFAC-PapersOnLine, Volume 56, Issue 2es
dc.eventinstitutionYokohama, Japanes
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes
dc.contributor.funderAgencia Estatal de Investigación. Españaes

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