H2 and/or H∞-norm model reduction of uncertain discrete-time systems

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 American Control Conference, v. 6, p. 4466-4470.
dc.identifier0743-1619
dc.identifierhttp://hdl.handle.net/11449/65950
dc.identifier10.1109/ACC.1999.786428
dc.identifier2-s2.0-0033284564
dc.identifier8755160580142626
dc.description.abstractThis paper addresses the problem of model reduction for uncertain discrete-time systems with convex bounded (polytope type) uncertainty. A reduced order precisely known model is obtained in such a way that the H2 and/or the H∞ guaranteed norm of the error between the original (uncertain) system and the reduced one is minimized. The optimization problems are formulated in terms of coupled (non-convex) LMIs - Linear Matrix Inequalities, being solved through iterative algorithms. Examples illustrate the results.
dc.languageeng
dc.relationProceedings of the American Control Conference
dc.relation0,500
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectAlgorithms
dc.subjectControl system analysis
dc.subjectDiscrete time control systems
dc.subjectIterative methods
dc.subjectMathematical models
dc.subjectOptimization
dc.subjectLinear matrix inequalities (LMI)
dc.subjectModel reduction
dc.subjectUncertain systems
dc.titleH2 and/or H∞-norm model reduction of uncertain discrete-time systems
dc.typeActas de congresos


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