System identification dataset

The dataset contains two sub-folders:<br>1. Load sharing 2. function approximation<br>1. Load sharing ("data.zip"):<br>Each folder corresponds with a subject.<br>the monopolar, single differential and double differential data issaved in the corresponding sub-folders 'mono', 'sd' and 'dd' respectively.<br>In each subfolder, the data is saved as '30.mat','50mat',or '70.mat' corresponding with 30%,50% or 70% MVC isometric flexion-extension.<br>The recording protocol can be found the word file 'report.doc' in this folder inThe subsection: experimental recording.<br>Structure of the '.mat' files :<br>They all have the same structure:<br>Raw_Torque : The measured Torque in ADC numbersstructure 'TAB_ARV' , the EMG envelopes for 'BB', 'BR', 'TM', 'TL' (Read report for the methods and acronyms).<br>2. function approximation ("fun_approx.zip")<br><br>Multiple benchmark examples including a piecewise single variable function, five nonlinear dynamic plants with various nonlinear structures, the chaotic Mackey Glass time series (with different signal to noise ratio (SNR) and various chaotic degree) and the real-world Box-Jenkins gas furnace system are considered to verify the effectiveness of the proposed FJWNN model. <br>The description ("info.pdf") and the entire simulated data as well as the results of our method on the training and test sets (in excel files) were provided.

本数据集包含两个子文件夹：1. 负载分配（Load sharing） 2. 函数逼近（function approximation）
1. 负载分配子文件夹（压缩包名为data.zip）：
每个文件夹对应一名受试者。单极、单差分及双差分数据分别存储于对应的子文件夹'mono'、'sd'与'dd'中。
各子文件夹内的数据以'30.mat'、'50.mat'或'70.mat'命名，分别对应30%、50%或70%最大自主收缩（Maximum Voluntary Contraction, MVC）等长屈伸运动。
本文件夹内的Word文档'report.doc'的“实验记录”小节中可查阅本次实验的记录方案。
.mat文件的结构如下：
所有.mat文件均采用统一结构：
Raw_Torque：以ADC数值表示的实测扭矩；结构体'TAB_ARV'包含'BB'、'BR'、'TM'、'TL'的肌电包络（具体命名规则与实验方法请参阅报告文档）。
2. 函数逼近子文件夹（压缩包名为fun_approx.zip）
本部分包含多个基准测试用例：分段单变量函数、五种具有不同非线性结构的非线性动态被控对象、含不同信噪比（Signal to Noise Ratio, SNR）与混沌程度的混沌Mackey-Glass时间序列，以及真实世界的Box-Jenkins煤气炉系统，用于验证所提出的FJWNN模型的有效性。
本次实验提供了基准测试的说明文档（"info.pdf"）、全部仿真数据，以及我们的方法在训练集与测试集上的实验结果（均存储于Excel文件中）。