Gaia Cavallo - Speaker

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 Shirt 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.
9 Jul 201811 Jul 2018

Event (Conference)

Title18th IFAC Symposium on System Identification
Web address (URL)
LocationAlbaNova University Center
Degree of recognitionInternational event

ID: 40432915