Nonparametric identification of time-varying human joint admittance

Nonparametric identification of time-varying human joint admittance

Cavallo, G. (Vrije Universiteit Brussel)
van de Ruit, M.L. (TU Delft Biomechatronics & Human-Machine Control)
Schouten, A.C. (TU Delft Biomechatronics & Human-Machine Control)
van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden)
Lataire, J. (Vrije Universiteit Brussel)

2018

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.

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

http://resolver.tudelft.nl/uuid:aded8704-2fa8-4a12-8fc2-7e82847d01ba

https://doi.org/10.1016/j.ifacol.2018.09.209

2019-04-08

2405-8963

IFAC-PapersOnLine, 51 (15), 533-538

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.

Institutional Repository

journal article

© 2018 G. Cavallo, M.L. van de Ruit, A.C. Schouten, J.W. van Wingerden, J. Lataire