Improving the quality of biomechanical system model identification using filtered white noise as input

Authors: Tyapkina P.D., Maslennikov A.L.
Published in issue: #1(18)/2018
DOI: 10.18698/2541-8009-2018-1-238
Category: Mechanics | Chapter: Biomechanics
Keywords: system identification, parametric identification quality, biomechanical systems, generating filters, informative signal selection
Published: 09.01.2018

Identification of biomechanical systems, such as a model of a human locomotor system component, presents a number of physiology-related challenges. One of the main challenges is selecting an adequately informative input signal. Filtered white noise may be used as an input signal to set a motion trajectory; however, using such a signal means that identification quality is going to be low. The study presents two approaches to increasing the identification quality in this problem: the first one involves performing identification over a limited frequency range, and the second one employs a type II Chebyshev filter as a generating filter.

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