2021_TVsysID_ARC_Data&Scripts.zip (25.34 GB)
Time-varying system identification methods for describing human joint impedance
datasetposted on 09.11.2021, 13:28 authored by Mark van de RuitMark van de Ruit, Alfred SchoutenAlfred Schouten, Winfred Mugge, John Lataire, Gaia Cavallo, Daniel Ludvig
This dataset contains data and scripts used in:
"Quantitative comparison of time-varying system
identification methods to describe human joint impedance",
Annual Reviews in Control, 2021
The data includes simulation and experimental data to identify impedance of the human ankle joints. Five time-varying system identification methods have been used (the ensemble impulse response function, short data segment, basis impulse response function, ensemble spectral and kernel based regression method). For some methods the source files can be found elsewhere.