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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/135255
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dc.contributor.authorTusset, Angelo Marcelo-
dc.contributor.authorBueno, Atila Madureira-
dc.contributor.authorNascimento, Claudinor Bitencourt-
dc.contributor.authorKaster, Mauricio dos Santos-
dc.contributor.authorBalthazar, José Manoel-
dc.date.accessioned2016-03-02T13:00:23Z-
dc.date.accessioned2016-10-25T21:32:15Z-
dc.date.available2016-03-02T13:00:23Z-
dc.date.available2016-10-25T21:32:15Z-
dc.date.issued2013-
dc.identifierhttp://dx.doi.org/10.3233/SAV-130782-
dc.identifier.citationShock and Vibration, v. 20, n. 4, p. 749-761, 2013.-
dc.identifier.issn1070-9622-
dc.identifier.urihttp://hdl.handle.net/11449/135255-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/135255-
dc.description.abstractDuring the last decade the chaotic behavior in MEMS resonators have been reported in a number of works. Here, the chaotic behavior of a micro-mechanical resonator is suppressed. The aim is to control the system forcing it to an orbit of the analytical solution obtained by the multiple scales method. The State Dependent Riccati Equation (SDRE) and the Optimal Linear Feedback Control (OLFC) strategies are used for controlling the trajectory of the system. Additionally, the SDRE technique is used in the state estimator design. The state estimation and the control techniques proved to be effective in controlling the trajectory of the system. Additionally, the robustness of the control strategies are tested considering parametric errors and measurement noise in the control loop.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.format.extent749-761-
dc.language.isoeng-
dc.sourceCurrículo Lattes-
dc.subjectOptimal controlen
dc.subjectSDRE controlen
dc.subjectChaosen
dc.subjectMEMSen
dc.subjectState estimationen
dc.titleNonlinear state estimation and control for chaos suppression in MEMS resonatoren
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Tecnológica Federal do Paraná (UFTPR)-
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Estatística, Matemática Aplicada e Computacional, Instituto de Geociências e Ciências Exatas de Rio Claro, Rio Claro, Avenida 24A. 1515., Bela Vista, CEP 13506-700, SP, Brasil-
dc.description.affiliationDepartamento de Engenharia Eletrônica, Universidade Tecnológica Federal do Paraná, Ponta Grossa, Paraná, Brazil-
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Estatística, Matemática Aplicada e Computacional, Instituto de Geociências e Ciências Exatas de Rio Claro, Rio Claro, Avenida 24A. 1515., Bela Vista, CEP 13506-700, SP, Brasil-
dc.identifier.doi10.3233/SAV-130782-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofShock and Vibration-
dc.identifier.lattes9728054402919622-
dc.identifier.lattes1204232509410955-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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