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

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorAssuncao, Edvaldo
dc.creatorPeres, Pedro L D
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:00Z
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:00Z
dc.date1999-12-01
dc.date.accessioned2017-04-06T00:55:23Z
dc.date.available2017-04-06T00:55:23Z
dc.identifierProceedings of the American Control Conference, v. 6, p. 4466-4470.
dc.identifier0743-1619
dc.identifierhttp://hdl.handle.net/11449/65950
dc.identifierhttp://acervodigital.unesp.br/handle/11449/65950
dc.identifier10.1109/ACC.1999.786428
dc.identifier2-s2.0-0033284564
dc.identifierhttp://dx.doi.org/10.1109/ACC.1999.786428
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/887599
dc.descriptionThis 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.rightsinfo:eu-repo/semantics/closedAccess
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.typeOtro


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