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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71988
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dc.contributor.authorChavarette, Fábio Roberto-
dc.contributor.authorBalthazar, José Manoel-
dc.contributor.authorGuilherme, Ivan Rizzo-
dc.contributor.authorSaraiva Do Nascimento Jr., Orlando-
dc.date.accessioned2014-05-27T11:24:51Z-
dc.date.accessioned2016-10-25T18:30:26Z-
dc.date.available2014-05-27T11:24:51Z-
dc.date.available2016-10-25T18:30:26Z-
dc.date.issued2010-12-01-
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-13025-0_33-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6097 LNAI, n. PART 2, p. 308-317, 2010.-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/11449/71988-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71988-
dc.description.abstractThis paper analyzes the non-linear dynamics of a MEMS Gyroscope system, modeled with a proof mass constrained to move in a plane with two resonant modes, which are nominally orthogonal. The two modes are ideally coupled only by the rotation of the gyro about the plane's normal vector. We demonstrated that this model has an unstable behavior. Control problems consist of attempts to stabilize a system to an equilibrium point, a periodic orbit, or more general, about a given reference trajectory. We also developed a particle swarm optimization technique for reducing the oscillatory movement of the nonlinear system to a periodic orbit. © 2010 Springer-Verlag.en
dc.format.extent308-317-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectEvolutionary Algorithms-
dc.subjectMEMS Gyroscope-
dc.subjectParticle Swarm Optimization-
dc.subjectA-plane-
dc.subjectControl design-
dc.subjectControl problems-
dc.subjectEquilibrium point-
dc.subjectMEMS gyroscope-
dc.subjectMicro-electro-mechanical-
dc.subjectNon-linear dynamics-
dc.subjectNormal vector-
dc.subjectOscillatory movements-
dc.subjectParticle swarm optimization technique-
dc.subjectPeriodic orbits-
dc.subjectProof mass-
dc.subjectReference trajectories-
dc.subjectResonant mode-
dc.subjectUnstable behavior-
dc.subjectAlgorithms-
dc.subjectBehavioral research-
dc.subjectGyroscopes-
dc.subjectIndustrial engineering-
dc.subjectIntelligent systems-
dc.subjectTime varying systems-
dc.subjectParticle swarm optimization (PSO)-
dc.titleSwarm control designs applied to a micro-electro-mechanical gyroscope system (MEMS)en
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionJd. Universitário-
dc.description.affiliationFaculty of Engineering UNESP - Univ. Estadual Paulista DM, Avenida Brasil, 56, 15385-000, Ilha Solteira, SP-
dc.description.affiliationGeoscience and Exact Science Institute UNESP - Univ. Estadual Paulista DEMAC, PO BOX 178, 13500-230, Rio Claro, SP-
dc.description.affiliationOmetto Herminio University Center at Araras - UNIARARAS Engineering Center Jd. Universitário, Av. Dr. Maximiliano Baruto, 500, 13607-339, Araras, SP-
dc.description.affiliationUnespFaculty of Engineering UNESP - Univ. Estadual Paulista DM, Avenida Brasil, 56, 15385-000, Ilha Solteira, SP-
dc.description.affiliationUnespGeoscience and Exact Science Institute UNESP - Univ. Estadual Paulista DEMAC, PO BOX 178, 13500-230, Rio Claro, SP-
dc.identifier.doi10.1007/978-3-642-13025-0_33-
dc.identifier.wosWOS:000281604400033-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.identifier.scopus2-s2.0-79551562919-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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