final

说明：  泛化回归神经网络GRNN(generalized regression NN)应用实例，适合学习使用。(Generalized regression neural network GRNN (generalized regression NN) application examples for learning to use.)

基于干扰观测器的PID控制 通过PID控制对存在干扰的被控对象的仿真(Based on disturbance observer PID control PID control by the existence of the object and interference simulation)

wlan物理层接收模型，给出了接收器各种模型(wlan physical layer receives the model, various models are given receiver)

levy法编制辨识程序，基本精确辨识了系统各个参数，因为误差准则的原因，系数略有差别。(levy convention identification procedures, precise identification of the basic parameters of the system, because of the reason of the error criterion, the coefficient slightly different.)

Application module support for IPVS.

一维的有限差分源代码，，matlab，简单易学，方面使用，有限差分的优点就是计算简便高效(One-dimensional finite difference code)

this is a document for design and tuninng a pid by matlab

该程序提供了学习STAP方法的处理方法，同行业的朋友可以交流借鉴(The program provides a way to learn STAP processing methods, with industry friends can exchange reference)

Receiver techniques are described with zero forcing and MMSE

说明：  简单的模糊控制器（Fuzzy Controller）的simulink仿真！(The simulation of fuzzy logic controller (Fuzzy Controller)!)