Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar. 2. Data files and Simulink models: process_data.mat,

把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易 -Copyed the training data, load the*. m file, the central load of*. m files for test data, save the file to save to disk bp predictive value of test data, the

神经网络控制工具箱,包括最优控制,反馈线性化控制,预测控制(Neural network control toolbox, including optimal control, feedback linearization control, predictive control)