Nonparametric Identification of Time-Varying Human Joint Admittance

G. Cavallo (Corresponding Author), M. van de Ruit, A. C. Schouten, J. W.van Wingerden, J. Lataire

    Research output: Contribution to journalArticleAcademicpeer-review

    1 Citation (Scopus)

    Abstract

    In this study, a nonparametric method, developed in Lataire et al. (2012), is applied to the identification of linear time-varying human joint admittance. The aim of the method, denoted Skirt Decomposition method, is to reconstruct the time-varying system function. The main contribution of the paper is to evaluate the possibilities and limitations of the method for the identification of linear time-varying human joint admittance in simulation. The proposed method delivers an estimate of linear time-varying joint admittance from a single experimental trial, provided that a multisine is used as excitation signal. The trade-off between i) the frequency resolution of the dynamics, and ii) the allowable complexity of the time variation is explored.

    Original languageEnglish
    Pages (from-to)533-538
    Number of pages6
    JournalIFAC-papersonline
    Volume51
    Issue number15
    DOIs
    Publication statusPublished - 1 Jan 2018

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    Time varying systems
    Decomposition

    Keywords

    • biomechanical system
    • frequency domain
    • linear time-varying systems
    • non-parametric identification
    • system function

    Cite this

    Cavallo, G. ; Ruit, M. van de ; Schouten, A. C. ; Wingerden, J. W.van ; Lataire, J. / Nonparametric Identification of Time-Varying Human Joint Admittance. In: IFAC-papersonline. 2018 ; Vol. 51, No. 15. pp. 533-538.
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    Nonparametric Identification of Time-Varying Human Joint Admittance. / Cavallo, G. (Corresponding Author); Ruit, M. van de; Schouten, A. C.; Wingerden, J. W.van; Lataire, J.

    In: IFAC-papersonline, Vol. 51, No. 15, 01.01.2018, p. 533-538.

    Research output: Contribution to journalArticleAcademicpeer-review

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    AU - Cavallo, G.

    AU - Ruit, M. van de

    AU - Schouten, A. C.

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    AU - Lataire, J.

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    AB - In this study, a nonparametric method, developed in Lataire et al. (2012), is applied to the identification of linear time-varying human joint admittance. The aim of the method, denoted Skirt Decomposition method, is to reconstruct the time-varying system function. The main contribution of the paper is to evaluate the possibilities and limitations of the method for the identification of linear time-varying human joint admittance in simulation. The proposed method delivers an estimate of linear time-varying joint admittance from a single experimental trial, provided that a multisine is used as excitation signal. The trade-off between i) the frequency resolution of the dynamics, and ii) the allowable complexity of the time variation is explored.

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    KW - frequency domain

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    KW - non-parametric identification

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