An iterative algorithm is considered for the identification of structured nonlinear systems. The systems considered consist of the interconnection of a MIMO (Multi-Input, Multi-Output) linear systems and a MIMO nonlinear system. The considered interconnection structure can represent as particular cases Hammerstein, Wiener or Lure systems. A key feature of the proposed method is that the nonlinear subsystem may be dynamic and is not assumed to have a given parametric form. In this way the complexity/accuracy problems posed by the proper choice of the suitable parametrization of the nonlinear subsystem are circumvented. Moreover, the simulation error of the overall model is shown to be a nonincreasing function of the number of algorithm iteration. The effectiveness of the algorithm is tested on the problem of identifying a model for vertical dynamics of vehicles with controlled suspensions from both simulated and experimental data.


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    Titel :

    Structured set membership identification of nonlinear systems with application to vehicles with controlled suspension


    Weitere Titelangaben:

    Identifikation von nichtlinearen Systemen mittels strukturierten Zugehörigkeitsfunktionen und deren Anwendung für Fahrzeuge mit einer geregelten Radaufhängung


    Beteiligte:
    Milanese, Mario (Autor:in) / Novara, Carlo (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2007


    Format / Umfang :

    16 Seiten, 17 Bilder, 4 Tabellen, 24 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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