Time-varying system identification methods for describing human joint impedance

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<br>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.

本数据集收录了发表于2021年《控制年度综述（Annual Reviews in Control）》的论文《定量对比用于描述人体关节阻抗的时变系统辨识方法》中所使用的数据与脚本。该数据集涵盖用于辨识人体踝关节阻抗的仿真数据与实验数据。本次研究共采用五种时变系统辨识方法，分别为集成冲激响应函数（ensemble impulse response function）法、短数据段（short data segment）法、基冲激响应函数（basis impulse response function）法、集成谱法以及基于核的回归方法。部分方法对应的源文件可在其他渠道获取。