dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T11:19:49Z | |
dc.date.available | 2014-05-27T11:19:49Z | |
dc.date.created | 2014-05-27T11:19:49Z | |
dc.date.issued | 1999-12-01 | |
dc.identifier | Proceedings of the American Control Conference, v. 6, p. 4466-4470. | |
dc.identifier | 0743-1619 | |
dc.identifier | http://hdl.handle.net/11449/65950 | |
dc.identifier | 10.1109/ACC.1999.786428 | |
dc.identifier | 2-s2.0-0033284564 | |
dc.identifier | 8755160580142626 | |
dc.description.abstract | This 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.language | eng | |
dc.relation | Proceedings of the American Control Conference | |
dc.relation | 0,500 | |
dc.rights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Algorithms | |
dc.subject | Control system analysis | |
dc.subject | Discrete time control systems | |
dc.subject | Iterative methods | |
dc.subject | Mathematical models | |
dc.subject | Optimization | |
dc.subject | Linear matrix inequalities (LMI) | |
dc.subject | Model reduction | |
dc.subject | Uncertain systems | |
dc.title | H2 and/or H∞-norm model reduction of uncertain discrete-time systems | |
dc.type | Actas de congresos | |