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Selection of appropriate uniform structures for an adaptive control of robot under environmental interaction

dc.contributor.authorTar, József K.
dc.contributor.authorRudas, Imre J.
dc.contributor.authorHorváth, László
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-18T11:57:17Z
dc.date.available2019-04-18T11:57:17Z
dc.date.issued1999
dc.description.abstractA special approach for the adaptive control of approximately and partially known mechanical systems under unmodeled external dynamic interaction was recently invented and investigated from several aspects. As a combination of the application of uniform structures and co-operating ancillary procedures it overcomes the limitations of classical feedforward neural network-based approaches. Besides being found to be efficient, the method may have room for further improvement due to choosing the best one of the possible simple uniform structures as well as of the way of co-operation between the different ancillary tools. These new aspects are taken into account in the present investigations also including global parameter optimization in an external loop. The results are presented as simulations made for a 2 DOF rotary arm for the simplicity. As a conclusion indication is gained for a newer possibility of global optimization.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13659
dc.language.isoengpt_PT
dc.titleSelection of appropriate uniform structures for an adaptive control of robot under environmental interactionpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleJubilee International Conferencept_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.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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