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

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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
Number of pages	6
Journal	IFAC-papersonline
Volume	51
Issue number	15
DOIs	https://doi.org/10.1016/j.ifacol.2018.09.209
Publication status	Published - 1 Jan 2018
Externally published	Yes

Keywords

Biomechanical system
Frequency domain
Linear time-varying systems
Non-parametric identification
System function

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10.1016/j.ifacol.2018.09.209Licence: CC BY-NC-ND

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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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AU - van de Ruit, M.

AU - Schouten, A.C.

AU - van Wingerden, J.W.

AU - Lataire, J.

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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.

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KW - Frequency domain

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Nonparametric Identification of Time-Varying Human Joint Admittance

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