MATLAB-useful-function-

drbd源文件，热备使用，与heartbeat配合使用，drbd源文件，热备使用，与heartbeat配合使用(DRBD source file, use hot standby, and heartbeat, DRBD source file, use hot standby, used with the heartbeat)

风力发电系统中的风速仿真模型，MATLAB/S函数构造(wind power system simulation model of the wind, MATLAB/S structure function)

matlab code for pv battery converter

SFA算法的matlab实现，不是使用工具箱的那种，纯编程，望支持(The algorithm of SFA, not use the tool box function, use laugage of matlab.)

说明：  严格的说，Matlab并不是一种计算机语言，因为用它编写出来的程序并不能脱离Matlab环境而执行，但从功能上说，Matlab已经完全具备了计算机语言的结构和性能，因此我们也习惯的称之为Matlab语言。(Strictly speaking, Matlab is not a computer language, because it is written out using the procedure and not from the Matlab environment, the execution, but functions on that, Matlab has all have the structure and properties of computer languages, so we used the called Matlab language.)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

Matlab实用程序 1-32是：图形应用篇(Matlab Utilities)

Multi Parameter Optimizer Toolkit 2.62多参数优化Matlab程序，可用于多维参数的最优化。计算(This is a matlab program tookit for multi paramter optimization.)

espritsus算法的matlab实现，可以得到好的实验效果。(espritsus algorithm matlab implementation, can be a good experiment results.)

MIMO 场景下的SVD分解后，进行eigenvector预编码所获得信道容量(the capacity after deploying eigenvector beamforming)