Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7571
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYao, Jingyi-
dc.contributor.authorOrdonez, Raul-
dc.contributor.authorGazi, Veysel-
dc.date.accessioned2021-09-11T15:57:56Z-
dc.date.available2021-09-11T15:57:56Z-
dc.date.issued2006-
dc.identifier.citation45th IEEE Conference on Decision and Control -- DEC 13-15, 2006 -- San Diego, CAen_US
dc.identifier.isbn978-1-4244-0170-3-
dc.identifier.issn0743-1546-
dc.identifier.urihttps://doi.org/10.1109/CDC.2006.377565-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7571-
dc.description.abstractIn this paper, we present a stable and decentralized control strategy for multi-agent systems (swarms) to capture a moving target in a specific formation. The coordination framework uses artificial potentials to take care of both tracking and formation tasks. First, a basic controller is designed based on a kinematic model. After that, sliding mode control technique is used to force the agents with general vehicle dynamics to obey the required motion. Finally, specific potential functions are discussed and corresponding simulation results are given.en_US
dc.description.sponsorshipIEEEen_US
dc.description.sponsorshipAFRL/AROSR [F33615-01-2-3154]; DAGSI (Dayton Area Graduate Studies Institute); TUBITAK (the Scientific and Technological Research Council of Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [104E170]en_US
dc.description.sponsorshipThe work was supported with AFRL/AROSR grant No. F33615-01-2-3154. In addition the work was supported by DAGSI (Dayton Area Graduate Studies Institute). Veysel Gazi was supported by TUBITAK (the Scientific and Technological Research Council of Turkey) under grant No. 104E170.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings of The 45Th IEEE Conference On Decision And Control, Vols 1-14en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleSwarm Tracking Using Artificial Potentials and Sliding Mode Control [conference Object]en_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesIEEE Conference on Decision and Control-
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.startpage4670en_US
dc.identifier.endpage+en_US
dc.authorid0000-0002-4383-9215-
dc.identifier.wosWOS:000252251604153-
dc.identifier.scopus2-s2.0-35148815482-
dc.institutionauthorGazi, Veysel-
dc.identifier.doi10.1109/CDC.2006.377565-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference45th IEEE Conference on Decision and Controlen_US
dc.identifier.scopusqualityQ3-
dc.identifier.wosqualityN/A-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

30
checked on Dec 21, 2024

WEB OF SCIENCETM
Citations

21
checked on Dec 21, 2024

Page view(s)

64
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.