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Chaos dynamics in the trajectory control of redundant manipulators

dc.contributor.authorDuarte, Fernando B. M.
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-05T13:58:57Z
dc.date.embargo2100
dc.date.issued2000-04-24
dc.description.abstractSeveral kinematic control algorithms for redundant manipulators adopt generalized inverse matrices. In this line of thought, the generalized inverse control scheme is tested through experiments that reveal the difficulties that often arise. Motivated by these problems this paper studies kinematics and dynamics of the trajectory planning scheme. The experiment confirm the non-linear and chaotic performance of the algorithm and gives a deeper insight towards the future development of superior trajectory control systems.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ROBOT.2000.845372pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13419
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/845372pt_PT
dc.subjectRedundant manipulatorspt_PT
dc.subjectChaospt_PT
dc.subjectManipulator dynamicspt_PT
dc.subjectInverse problemspt_PT
dc.subjectMatrix algebrapt_PT
dc.subjectNonlinear control systemspt_PT
dc.titleChaos dynamics in the trajectory control of redundant manipulatorspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSan Francisco, Californiapt_PT
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE International Conference on Robotics and Automationpt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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