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  • Nonparametric identification of nonlinear dynamic systems

    Gábor Kenderi

    Band 32 von Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie
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    A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentation technique that turns the filter into a dual state and parameter estimator, of which an extension towards nonparametric identification is proposed in the present work.

    Umfang: XXVIII, 194 S.

    Preis: €47.00 | £43.00 | $83.00

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    Empfohlene Zitierweise
    Kenderi, G. 2018. Nonparametric identification of nonlinear dynamic systems. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085419
    Kenderi, G., 2018. Nonparametric identification of nonlinear dynamic systems. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085419
    Kenderi, G. Nonparametric Identification of Nonlinear Dynamic Systems. KIT Scientific Publishing, 2018. DOI: https://doi.org/10.5445/KSP/1000085419
    Kenderi, G. (2018). Nonparametric identification of nonlinear dynamic systems. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085419
    Kenderi, Gábor. 2018. Nonparametric Identification of Nonlinear Dynamic Systems. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085419




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    Weitere Informationen

    Veröffentlicht am 28. November 2018

    Sprache

    Englisch

    Seitenanzahl:

    240

    ISBN
    Paperback 978-3-7315-0834-2

    DOI
    https://doi.org/10.5445/KSP/1000085419