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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/75502
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dc.contributor.authorNozaki, Ricardo-
dc.contributor.authorBalthazar, José Manoel-
dc.contributor.authorTusset, Angelo Marcelo-
dc.contributor.authorDe Pontes Jr., Bento Rodrigues-
dc.contributor.authorBueno, Átila Madureira-
dc.date.accessioned2014-05-27T11:29:34Z-
dc.date.accessioned2016-10-25T18:48:54Z-
dc.date.available2014-05-27T11:29:34Z-
dc.date.available2016-10-25T18:48:54Z-
dc.date.issued2013-06-01-
dc.identifierhttp://dx.doi.org/10.1007/s40313-013-0034-1-
dc.identifier.citationJournal of Control, Automation and Electrical Systems, v. 24, n. 3, p. 223-231, 2013.-
dc.identifier.issn2195-3880-
dc.identifier.issn2195-3899-
dc.identifier.urihttp://hdl.handle.net/11449/75502-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/75502-
dc.description.abstractThe performance of the optimal linear feedback control and of the state-dependent Riccati equation control techniques applied to control and to suppress the chaotic motion in the atomic force microscope are analyzed. In addition, the sensitivity of each control technique regarding to parametric uncertainties are considered. Simulation results show the advantages and disadvantages of each technique. © 2013 Brazilian Society for Automatics - SBA.en
dc.format.extent223-231-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectAtomic force microscopy (AFM)-
dc.subjectChaos-
dc.subjectOptimal linear feedback control (OLFC)-
dc.subjectState-dependent Riccati equation (SDRE)-
dc.subjectAtomic force microscope (AFM)-
dc.subjectChaotic motions-
dc.subjectControl techniques-
dc.subjectLinear feedback control-
dc.subjectParametric errors-
dc.subjectParametric uncertainties-
dc.subjectState-dependent Riccati equation-
dc.subjectChaos theory-
dc.subjectFeedback control-
dc.subjectOptimization-
dc.subjectAtomic force microscopy-
dc.titleNonlinear control system applied to atomic force microscope including parametric errorsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Tecnológica Federal Do Paraná - UTFPR-
dc.description.affiliationUniversidade Estadual Paulista - UNESP, Av. Luiz Edmundo Carrijo Coube, Bauru, SP 14-01-
dc.description.affiliationDepartamento de Estatística Matemática Aplicada e Computacional Universidade Estadual Paulista - UNESP, Avenida 24A. 1515. Bela Vista Caixa-postal: 178, Rio-Claro SP 13506-700-
dc.description.affiliationUniversidade Tecnológica Federal Do Paraná - UTFPR, Av. Monteiro Lobato s.n., km 4, Ponta Grossa, PR 84019-919-
dc.description.affiliationUnespUniversidade Estadual Paulista - UNESP, Av. Luiz Edmundo Carrijo Coube, Bauru, SP 14-01-
dc.description.affiliationUnespDepartamento de Estatística Matemática Aplicada e Computacional Universidade Estadual Paulista - UNESP, Avenida 24A. 1515. Bela Vista Caixa-postal: 178, Rio-Claro SP 13506-700-
dc.identifier.doi10.1007/s40313-013-0034-1-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofJournal of Control, Automation and Electrical Systems-
dc.identifier.scopus2-s2.0-84879400236-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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