fuzzy-PID-controller

matlab 函数库 模糊控制类库 电子书(matlab fuzzy control library library)

基础自适应均衡化利用lms或rls方法,通俗易懂,适合初学者(Adaptive equalization based on the use of LMS or rls methods, user-friendly, suitable for beginners)

This is a matlab function that help you to compare some personal images and detect the age difference between two subjects

说明：  l雷诺方程离散求解的基本思路以及程序编写思路(The finite difference method of Reynolds equation and the realization of related programs)

DMI直接矩阵求逆，含有期望信号和不含有期望信号的对比图(DMI direct matrix inversion, with the desired signal and does not contain the desired signal of the comparison chart)

这个程序再matlab2012b版本上调试成功，以前在毕业设计的时候在网上找到的资料，希望对大家有用，mean-shift用于图像分割 Matlab程序(This program debug version then matlab2012b success in graduate design information previously found on the Internet when we want to be useful, MATLAB programs: the use of DWT image watermarking embedding and extraction, which contains a watermark image, the original image)

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) ( LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) )

AR建模工具箱 - ArToolBox,用于时间序列分析和应用，方便且规范的代码，易于使用。(The AR modeling toolbox- ArToolBox, for time series analysis and applications, convenient and standardized code, easy to use.)

基于SVR的非线性系统故障诊断，假设非线性系统在1.4s~1.6s期间发生系统参数变化故障(SVR-based fault diagnosis of nonlinear systems, assuming nonlinear systems in 1.4s ~ 1.6s failure occurred during the parameter variations)

第二种联合稀疏模型重构算法，用于分布式压缩感知(recovery algorithm of JSM2)