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Hybrid Consensus-Based Control of Nonholonomic Mobile Robot Formation

dc.contributor.author Guzey, Haci Mehmet
dc.contributor.author Dierks, T.
dc.contributor.author Jagannathan, S.
dc.contributor.author Acar, L.
dc.date.accessioned 2026-03-26T14:52:55Z
dc.date.available 2026-03-26T14:52:55Z
dc.date.issued 2017
dc.description Guzey, Haci Mehmet/0000-0002-2215-9536 en_US
dc.description.abstract This paper addresses the hybrid consensus-based formation keeping problem for nonholonomic mobile robots in the presence of a novel time-varying, composite, nonlinear velocity-tracking error system. First, continuous-time regulation and consensus-based formation controllers are developed for a group of wheeled mobile robots. These controllers are then used to create a hybrid automaton, which drives the robots to their goal positions while maintaining a specified formation.In order to avoid the hard switches between regulation and formation keeping controllers, a novel blended velocity tracking error approach is proposed in this work to create nonlinear, time-varying velocity error dynamics. Therefore, the hybrid controller consists of two discrete modes, each with continuous dynamics, and the novel blended velocity tracking error approach provides a smooth transition between each mode. The controller in the regulation mode drives the robot to a goal position while the formation keeping controller ensures that the robots achieve a specified geometric formation prior to reaching their goal-position. Time-varying Lyapunov functions are used to rigorously demonstrate that the formation errors converge to a small bounded region around the origin and the size of the bound can be adjusted by using the switching conditions. Convergence to goal position while in formation is also demonstrated in the same Lyapunov analysis illustrating that the robots are converging to their goal positions while operating in both regulation and formation keeping mode. Simulation results verify the theoretical conjectures. en_US
dc.identifier.doi 10.1007/s10846-017-0541-6
dc.identifier.issn 0921-0296
dc.identifier.issn 1573-0409
dc.identifier.scopus 2-s2.0-85017146951
dc.identifier.uri https://doi.org/10.1007/s10846-017-0541-6
dc.identifier.uri https://hdl.handle.net/20.500.14901/2506
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Journal of Intelligent & Robotic Systems en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Nonholonomic Mobile Robots en_US
dc.subject Consensus en_US
dc.subject Formation Control en_US
dc.subject Hybrid Automata en_US
dc.subject Time-Varying Lyapunov Methods en_US
dc.title Hybrid Consensus-Based Control of Nonholonomic Mobile Robot Formation en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Guzey, Haci Mehmet/0000-0002-2215-9536
gdc.author.scopusid 55813710200
gdc.author.scopusid 23569490800
gdc.author.scopusid 26642913600
gdc.author.scopusid 7004574349
gdc.author.wosid Guzey, Haci Mehmet/Acf-4065-2022
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.collaboration.industrial false
gdc.description.department Erzurum Technical University en_US
gdc.description.departmenttemp [Guzey, Haci Mehmet] Erzurum Tech Univ, Dept Elect & Comp Engn, TR-25090 Erzurum, Turkey; [Dierks, T.] DRS Sustainment Syst Inc, St Louis, MO 63121 USA; [Jagannathan, S.; Acar, L.] Missouri Univ Sci & Technol, Dept Elect & Comp Engn, Rolla, MO 65401 USA en_US
gdc.description.endpage 200 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 181 en_US
gdc.description.volume 88 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q3
gdc.identifier.openalex W2604469503
gdc.identifier.wos WOS:000409969300011
gdc.index.type WoS
gdc.oaire.diamondjournal false
gdc.oaire.impulse 11.0
gdc.oaire.influence 3.638263E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 7.4016535E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 2.4059
gdc.openalex.normalizedpercentile 0.9
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 18
gdc.plumx.crossrefcites 18
gdc.plumx.mendeley 19
gdc.plumx.scopuscites 23
gdc.scopus.citedcount 23
gdc.wos.citedcount 15

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