Time-varying system identification methods for describing human joint impedance

  • Mark van de Ruit (Creator)
  • Winfred Mugge (Creator)
  • Gaia Cavallo (Creator)
  • John Lataire (Creator)
  • Daniel Ludvig (Creator)
  • Alfred C. Schouten (Creator)



This dataset contains data and scripts used in:"Quantitative comparison of time-varying systemidentification 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.
Date made availableNov 9 2021

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