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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/65951
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dc.contributor.authorAssuncao, Edvaldo-
dc.contributor.authorPeres, Pedro L D-
dc.date.accessioned2014-05-27T11:19:49Z-
dc.date.accessioned2016-10-25T18:16:01Z-
dc.date.available2014-05-27T11:19:49Z-
dc.date.available2016-10-25T18:16:01Z-
dc.date.issued1999-12-01-
dc.identifierhttp://dx.doi.org/10.1109/CDC.1999.830904-
dc.identifier.citationProceedings of the IEEE Conference on Decision and Control, v. 2, p. 1857-1862.-
dc.identifier.issn0191-2216-
dc.identifier.urihttp://hdl.handle.net/11449/65951-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/65951-
dc.description.abstractA branch and bound algorithm is proposed to solve the H2-norm model reduction problem for continuous-time linear systems, with conditions assuring convergence to the global optimum in finite time. The lower and upper bounds used in the optimization procedure are obtained through Linear Matrix Inequalities formulations. Examples illustrate the results.en
dc.format.extent1857-1862-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectAlgorithms-
dc.subjectControl system synthesis-
dc.subjectLinear systems-
dc.subjectMathematical models-
dc.subjectMatrix algebra-
dc.subjectOptimization-
dc.subjectPolynomials-
dc.subjectState space methods-
dc.subjectContinuous time linear systems-
dc.subjectLinear matrix inequalities-
dc.subjectOptimal control systems-
dc.titleGlobal optimization approach for the H2-norm model reduction problemen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationPaulista State Univ, Ilha Solteira-
dc.description.affiliationUnespPaulista State Univ, Ilha Solteira-
dc.identifier.doi10.1109/CDC.1999.830904-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofProceedings of the IEEE Conference on Decision and Control-
dc.identifier.scopus2-s2.0-0033325754-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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