Shape control of cyclic networks in multirobot formations
dc.contributor.author | Eren, Tolga | |
dc.date.accessioned | 2020-06-25T18:07:41Z | |
dc.date.available | 2020-06-25T18:07:41Z | |
dc.date.issued | 2013 | |
dc.department | Kırıkkale Üniversitesi | |
dc.description.abstract | The first part of this paper examines cycles at the network level of sensing and control architectures that are needed to maintain the shape of a multiagent formation in 2-dimensional space, while the formation moves as a cohesive whole. The key tools used in the paper are rigidity theory and graph theory. The second part of the paper focuses on the planner level and controller level of the architecture by designing the fuzzy planner and fuzzy controller of individual agents. This permits the decomposition of the complex coordination problem into a series of smaller ones. The fuzzy planner and the fuzzy controller on kinematic unicycles are simulated for an exemplary cyclic formation generated by the results obtained in the first half of the paper. The validity of the proposed approach in the shape control of multiagent formations is verified through simulation experiments. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [108E189] | en_US |
dc.description.sponsorship | This work was supported by the Scientific and Technological Research Council of Turkey through grant 108E189 and was carried out in the framework of European Commission COST Action IC0806, "Intelligent Monitoring, Control and Security of Critical Infrastructure Systems." | en_US |
dc.identifier.citation | Eren T. (2013). Shape control of cyclic networks in multirobot formations. Turkish Journal of Electrical Engineering and Computer Sciences, 21(4), 1182 - 1198. | en_US |
dc.identifier.doi | 10.3906/elk-1111-46 | |
dc.identifier.endpage | 1198 | en_US |
dc.identifier.issn | 1300-0632 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.scopus | 2-s2.0-84880100946 | |
dc.identifier.scopusquality | Q2 | |
dc.identifier.startpage | 1182 | en_US |
dc.identifier.trdizinid | 146239 | |
dc.identifier.uri | https://doi.org/10.3906/elk-1111-46 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12587/5637 | |
dc.identifier.volume | 21 | en_US |
dc.identifier.wos | WOS:000322746100019 | |
dc.identifier.wosquality | Q3 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.indekslendigikaynak | TR-Dizin | |
dc.language.iso | en | |
dc.publisher | Tubitak Scientific & Technical Research Council Turkey | en_US |
dc.relation.ispartof | Turkish Journal Of Electrical Engineering And Computer Sciences | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Formation control | en_US |
dc.subject | networked control | en_US |
dc.subject | cooperative control | en_US |
dc.subject | multirobot formations | en_US |
dc.subject | autonomous agents | en_US |
dc.subject | rigidity theory | en_US |
dc.subject | rigid graph theory | en_US |
dc.subject | fuzzy control | en_US |
dc.subject | fuzzy systems | en_US |
dc.title | Shape control of cyclic networks in multirobot formations | en_US |
dc.type | Article |
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