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

    Keywords

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

    Fingerprint Dive into the research topics of 'Nonparametric Identification of Time-Varying Human Joint Admittance'. Together they form a unique fingerprint.

    Cite this