Global optimization approach for the H2-norm model reduction problem

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:19:49Z
dc.date.available2014-05-27T11:19:49Z
dc.date.created2014-05-27T11:19:49Z
dc.date.issued1999-12-01
dc.identifierProceedings of the IEEE Conference on Decision and Control, v. 2, p. 1857-1862.
dc.identifier0191-2216
dc.identifierhttp://hdl.handle.net/11449/65951
dc.identifier10.1109/CDC.1999.830904
dc.identifier2-s2.0-0033325754
dc.identifier8755160580142626
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.
dc.languageeng
dc.relationProceedings of the IEEE Conference on Decision and Control
dc.relation0,591
dc.rightsAcesso aberto
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 problem
dc.typeActas de congresos


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