Nonparametric identification of time-varying human joint admittance

Journal article (2018)

Authors

G. Cavallo Vrije Universiteit Brussel
M. van de Ruit Biomechatronics & Human-Machine Control
Alfred Schouten Biomechatronics & Human-Machine Control
Jan Willem van Wingerden Team Jan-Willem van Wingerden
J. Lataire Vrije Universiteit Brussel
Research Group
Team Jan-Willem van Wingerden
Copyright: © 2018 G. Cavallo, M.L. van de Ruit, A.C. Schouten, J.W. van Wingerden, J. Lataire
DOI: https://doi.org/10.1016/j.ifacol.2018.09.209
More Info
expand_more

Published Date

2018

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

Team Jan-Willem van Wingerden

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.

Files

1_s2.0_S2405896318318810_main.... (pdf)
(pdf | 0.689 Mb)
- Embargo expired in 08-04-2019
Unknown license