case14

中国石油大学张欣老师的 控制系统仿真 的学习教程。包括ppt及matlab程序。(China University of Petroleum teacher Zhang control system simulation tutorials. Including ppt and matlab program.)

采用matlab语言编写，相变沸腾的LBM模拟。(Using the matlab language to write, phase transition boiling LBM simulations)

用Matlab实现的简单的二维主成分分析算法，最后以点阵图输出结果(Using Matlab realize a simple two-dimensional principal component analysis algorithm, the final output to bitmap)

Gaussian Elimination with Pivoting Method by Cheuk Function uses Gauss elimination with pivoting to solve a linear system in standard format. (linear, algebra, gaussian)

文件中涵盖了三种利用小波变换进行图像去噪的程序(Paper covers three kinds of wavelet transform for image denoising procedures)

用灰度线性变化的方法进行图像增强，包含代码及代码注释(Using grayscales linear method of image enhancement, contain code and code comments)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301 : digital image data matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 0312 : Butterworth (Butterworth) high-pass fi)

Covariance Matrix Adaptation CMA-ES

对于matlab plot 画图时出现图像纵坐标比较接近时颜色分辨不出来，使图像颜色更丰富。(For matlab plot occurs when the image drawing closer to the vertical axis can not be seen when the color to make the image more colorful.)

Objective of this example is to demonstrate how to design and model adaptive controller, tune and analyse its performance using Simulink® . For this example we have used direct adaptive method called Model Reference Adaptive Controller (MRAC). There are three main elements of this model: Reference Model, Plant Model and Adaptive Controller. Each element and its working is explained in "Adaptive Controller Example.pdf", part of attached folder.