DC FieldValueLanguage
dc.contributor.authorRosero García, Esteban Emilio-
dc.contributor.authorWerner, Herbert-
dc.date.accessioned2023-01-24T16:12:25Z-
dc.date.available2023-01-24T16:12:25Z-
dc.date.issued2014-10-01-
dc.identifier.citationUKACC International Conference on Control (CONTROL 2014)de_DE
dc.identifier.isbn9781479950119de_DE
dc.identifier.urihttp://hdl.handle.net/11420/14651-
dc.description.abstractIn this paper and its companion paper [14], the problem of cooperative source seeking by a formation of mobile agents is considered. Each agent is equipped with position and signal strength measurement sensors; their task is to find the maximum of the scalar field. Agents exchange information with neighboring agents through a communication network. In the first part of this couple of papers, a distributed gradient estimation for each agent and a decentralized navigation controller for single- and double-integrator models are presented. When the signal measurements are corrupted by noise, distributed consensus filters are used in order to estimate the gradient direction. The strategy is based on both a gradient estimating algorithm and a formation controller. Stability conditions are provided. Numerical simulations illustrate the effectiveness of the proposed control law. Part two extends this approach to general linear time-invariant models.en
dc.language.isoende_DE
dc.titleCooperative source seeking via gradient estimation and formation control (Part 1)de_DE
dc.typeinProceedingsde_DE
dc.type.dinicontributionToPeriodical-
dcterms.DCMITypeText-
tuhh.abstract.englishIn this paper and its companion paper [14], the problem of cooperative source seeking by a formation of mobile agents is considered. Each agent is equipped with position and signal strength measurement sensors; their task is to find the maximum of the scalar field. Agents exchange information with neighboring agents through a communication network. In the first part of this couple of papers, a distributed gradient estimation for each agent and a decentralized navigation controller for single- and double-integrator models are presented. When the signal measurements are corrupted by noise, distributed consensus filters are used in order to estimate the gradient direction. The strategy is based on both a gradient estimating algorithm and a formation controller. Stability conditions are provided. Numerical simulations illustrate the effectiveness of the proposed control law. Part two extends this approach to general linear time-invariant models.de_DE
tuhh.publisher.doi10.1109/CONTROL.2014.6915212-
tuhh.publication.instituteRegelungstechnik E-14de_DE
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.type.drivercontributionToPeriodical-
dc.type.casraiConference Paper-
tuhh.container.startpage628de_DE
tuhh.container.endpage633de_DE
dc.relation.conferenceUKACC International Conference on Control, CONTROL 2014de_DE
dc.identifier.scopus2-s2.0-84921470792-
tuhh.container.articlenumber6915212de_DE
datacite.resourceTypeGeneralConferencePaper-
item.mappedtypeinProceedings-
item.fulltextNo Fulltext-
item.creatorGNDRosero García, Esteban Emilio-
item.creatorGNDWerner, Herbert-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.creatorOrcidRosero García, Esteban Emilio-
item.creatorOrcidWerner, Herbert-
item.openairetypeinProceedings-
crisitem.author.deptRegelungstechnik E-14-
crisitem.author.orcid0000-0003-3456-5539-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
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