Approximation of the Feasible Parameter Set in worst-case identification of Hammerstein models

Laura Giarre, Paola Falugi, Laura Giarré, Zappa

    Risultato della ricerca: Article

    14 Citazioni (Scopus)

    Abstract

    The estimation of the Feasible Parameter Set (FPS) for Hammerstein models in a worst-case setting is considered. A bounding procedure is determined both for polytopic and ellipsoidic uncertainties. It consists in the projection of the FPS of the extended parameter vector onto suitable subspaces and in the solution of convex optimization problems which provide Uncertainties Intervals of the model parameters. The bounds obtained are tighter than in the previous approaches
    Lingua originaleEnglish
    pagine (da-a)1017-1024
    Numero di pagine8
    RivistaAutomatica
    Volume41
    Stato di pubblicazionePublished - 2005

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Electrical and Electronic Engineering

    Cita questo

    Approximation of the Feasible Parameter Set in worst-case identification of Hammerstein models. / Giarre, Laura; Falugi, Paola; Giarré, Laura; Zappa.

    In: Automatica, Vol. 41, 2005, pag. 1017-1024.

    Risultato della ricerca: Article

    Giarre, Laura ; Falugi, Paola ; Giarré, Laura ; Zappa. / Approximation of the Feasible Parameter Set in worst-case identification of Hammerstein models. In: Automatica. 2005 ; Vol. 41. pagg. 1017-1024.
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    abstract = "The estimation of the Feasible Parameter Set (FPS) for Hammerstein models in a worst-case setting is considered. A bounding procedure is determined both for polytopic and ellipsoidic uncertainties. It consists in the projection of the FPS of the extended parameter vector onto suitable subspaces and in the solution of convex optimization problems which provide Uncertainties Intervals of the model parameters. The bounds obtained are tighter than in the previous approaches",
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