Nonparametric identification of time-varying human joint admittance

G. Cavallo; M. van de Ruit; A. C. Schouten; J. W.van Wingerden; J. Lataire

doi:10.1016/j.ifacol.2018.09.209

Nonparametric identification of time-varying human joint admittance

G. Cavallo, M. van de Ruit, A. C. Schouten, J. W.van Wingerden, J. Lataire

Research output: Contribution to journal › Conference article › Scientific › peer-review

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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 language	English
Pages (from-to)	533-538
Journal	IFAC-PapersOnLine
Volume	51
Issue number	15
DOIs	https://doi.org/10.1016/j.ifacol.2018.09.209
Publication status	Published - 2018

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

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

Thematic collaboration

TU Delft Wind Energy Institute (DUWIND)

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10.1016/j.ifacol.2018.09.209

1-s2.0-S2405896318318810-mainFinal published version, 586 KB

Cite this

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title = "Nonparametric identification of time-varying human joint admittance",

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.",

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note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

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doi = "10.1016/j.ifacol.2018.09.209",

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T1 - Nonparametric identification of time-varying human joint admittance

AU - Cavallo, G.

AU - Ruit, M. van de

AU - Schouten, A. C.

AU - Wingerden, J. W.van

AU - Lataire, J.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2018

Y1 - 2018

N2 - 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.

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.

KW - biomechanical system

KW - frequency domain

KW - linear time-varying systems

KW - non-parametric identification

KW - system function

UR - https://www.scopus.com/pages/publications/85054400055

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DO - 10.1016/j.ifacol.2018.09.209

M3 - Conference article

AN - SCOPUS:85054400055

SN - 2405-8963

VL - 51

SP - 533

EP - 538

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 15

ER -

Nonparametric identification of time-varying human joint admittance

Abstract

Bibliographical note

Keywords

Thematic collaboration

Access to Document

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