Leaderless collective motions in affine formation control

dc.conference.date14-17, Dic 2021
dc.conference.placeAustin, Texas, USA
dc.conference.title60th EEE Conference on Decision and Control (CDC)
dc.contributor.authorGarcía De Marina Peinado, Héctor Jesús
dc.contributor.authorJiménez Castellanos, Juan Francisco
dc.contributor.authorYao, Weijia
dc.date.accessioned2026-01-09T19:27:30Z
dc.date.available2026-01-09T19:27:30Z
dc.date.issued2021
dc.description.abstractThis paper proposes a novel distributed technique to induce collective motions in affine formation control. Instead of the traditional leader-follower strategy, we propose modifying the original weights that build the Laplacian matrix so that a designed steady-state motion of the desired shape emerges from the agents' local interactions. The proposed technique allows a rich collection of collective motions such as rotations around the centroid, translations, scalings, and shearings of a reference shape. These motions can be applied in useful collective behaviors such as shaped consensus (the rendezvous with a particular shape), escorting one of the team agents, or area coverage. We prove the global stability and effectiveness of our proposed technique rigorously, and we provide some illustrative numerical simulations.
dc.description.departmentDepto. de Arquitectura de Computadores y Automática
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipComunidad de Madrid
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades (España)
dc.description.sponsorshipAgencia Estatal de Investigación (España)
dc.description.sponsorshipEuropean Commission
dc.description.statuspub
dc.identifier.citationH. G. de Marina, J. Jimenez Castellanos and W. Yao, "Leaderless collective motions in affine formation control," 2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, 2021, pp. 6433-6438, doi: 10.1109/CDC45484.2021.9682800.
dc.identifier.doi10.1109/CDC45484.2021.9682800
dc.identifier.essn2576-2370
dc.identifier.isbn978-1-6654-3658-8
dc.identifier.issn0743-1546
dc.identifier.officialurlhttps://doi.org/10.1109/CDC45484.2021.9682800
dc.identifier.relatedurlhttps://ieeexplore.ieee.org/document/9682800
dc.identifier.relatedurlhttps://dx.doi.org/10.48550/arXiv.2104.03412
dc.identifier.urihttps://hdl.handle.net/20.500.14352/129810
dc.language.isoeng
dc.page.final6438
dc.page.initial6433
dc.relation.projectID2019-T2/TIC-13503
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098962-B-C21/ES/MONITORIZACION AUTOMATICA DE CONTAMINANTES EN AGUAS EMBALSADAS UTILIZANDO BIOSENSORES Y VEHICULOS AUTONOMOS DE SUPERFICIE/
dc.rights.accessRightsopen access
dc.subject.cdu004
dc.subject.keywordLaplace equations
dc.subject.keywordShape
dc.subject.keywordConferences
dc.subject.keywordNumerical simulation
dc.subject.keywordStability analysis
dc.subject.keywordSteady-state
dc.subject.keywordShearing
dc.subject.ucmInformática (Informática)
dc.subject.unesco33 Ciencias Tecnológicas
dc.titleLeaderless collective motions in affine formation control
dc.typeconference paper
dc.type.hasVersionAO
dspace.entity.typePublication
relation.isAuthorOfPublication6ec0e579-bca5-4c41-828a-a60114fd5f97
relation.isAuthorOfPublicationbf65781a-9242-4227-b413-adf7c55935e6
relation.isAuthorOfPublication.latestForDiscovery6ec0e579-bca5-4c41-828a-a60114fd5f97

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