Recursive Algorithms for Inner Ellipsoidal Approximation of Convex Polytopes (Articolo in rivista)

Type
Label
  • Recursive Algorithms for Inner Ellipsoidal Approximation of Convex Polytopes (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/S0005-1098(03)00180-8 (literal)
Alternative label
  • F. Dabbene, P. Gay, B. T. Polyak (2003)
    Recursive Algorithms for Inner Ellipsoidal Approximation of Convex Polytopes
    in Automatica (Oxf.)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • F. Dabbene, P. Gay, B. T. Polyak (literal)
Pagina inizio
  • 1773 (literal)
Pagina fine
  • 1781 (literal)
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  • Times Cited: 4 (from Web of Science) (literal)
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  • 39 (literal)
Rivista
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  • 10 (literal)
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  • In this paper, fast recursive algorithms for the approximation of an n-dimensional convex polytope by means of an inscribed ellipsoid are presented. These algorithms consider at each step a single inequality describing the polytope and, under mild assumptions, they are guaranteed to converge in a finite number of steps. For their recursive nature, the proposed algorithms are better suited to treat a quite large number of constraints than standard off-line solutions, and have their natural application to problems where the set of constraints is iteratively updated, as on-line estimation problems, nonlinear convex optimization procedures and set membership identification. (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Fabrizio Dabbene is with IEIIT-CNR, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy Paolo Gay is with Dipartimento di Economia e Ingegneria Agraria, Forestale e Ambientale, Università degli Studi di Torino, Grugliasco (To), Italy Boris T. Polyak is with Institute for Control Science, Moscow, Russia (literal)
Titolo
  • Recursive Algorithms for Inner Ellipsoidal Approximation of Convex Polytopes (literal)
Abstract
  • In this paper, fast recursive algorithms for the approximation of an n-dimensional convex polytope by means of an inscribed ellipsoid are presented. These algorithms consider at each step a single inequality describing the polytope and, under mild assumptions, they are guaranteed to converge in a finite number of steps. For their recursive nature, the proposed algorithms are better suited to treat a quite large number of constraints than standard off-line solutions, and have their natural application to problems where the set of constraints is iteratively updated, as on-line estimation problems, nonlinear convex optimization procedures and set membership identification. (literal)
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