tfdemo2

说明：  随机过程在三国杀中的数学建模及matlab仿真报告(Three killed in Stochastic Process in Mathematical Modeling and Simulation Report matlab)

说明：  MATLAB实用教程（第2版）实例源代码程序EXE0704(MATLAB Practical Guide (2nd Edition) examples source code program EXE0704)

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)

主要使图像进行灰度化处理，matlab的源代码，视同再进一步的预处理中应用(Gray image)

Dlms测试程序,用于召测DLMS电表数据的一个小程序(Dlms Test)

GML AdaBoost Matlab 工具箱，有详细的说明文档，脚本，用例(GML AdaBoost Matlab Toolbox)

MACROX FUSION PROGRAMS

四旋翼仿真的经典必看文章。很不容易下载到的。包括6个自由度的仿真，模糊pid控制等。希望对大家有用。(Four-rotor simulation of the classic must-see article. Very easy to download. Including six degrees of freedom simulation, fuzzy pid control. I hope to be useful.)

VGG MultiView Compute Library，包含各种图像插值算法的实现和图像变换矩阵参数估计(VGG MultiView Compute Library, contains a variety of image interpolation algorithm and image transformation matrix parameter estimation)

上海交通大学最优化练习题2，复习考试必备习题(Shanghai Jiaotong University, 2 optimization exercises, review exercises necessary tests)