UT4XLabel

吊车双摆系统的仿真 说明了pid控制方法的局限性(Crane double pendulum system simulation illustrates the limitations of pid control)

Vertical Lines detection

使用Harris角点检测方法进行图像特征点提取,NCC描述的方法进行粗匹配,再使用RANSAC算法进行精匹配。(Using Harris corner detection method for image feature point extraction, NCC description of the method of rough matching, and then use the RANSAC algorithm for fine matching. )

求解单机成组作业,基于TOC理论，多目标优化(To solve job scheduling on single machine)

Simulink工具编写代码(MATLAB Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h，含理论描述多普勒经典谱(Simulink tools for writing code (MATLAB Function mode) to produce a single path Rayleigh channel, the Doppler spectrum for the classical spectrum, where mobile speed of 120km/h, with the classical theoretical description of Doppler spectrum)

projection and backprojection

多变量非线性优化模型求解，对约束条件建立m文件(Multi-variable nonlinear optimization model for solving the establishment of restrictive conditions on m file)

编写PCA算法的程序，对想要学习如何利用PCA算法进行故障诊断的同学很有帮助！( a PCA algorithm program, for the person who want to learn how to use PCA algorithm for fault diagnosis of classmates the progran is very helpful!)

采用LQR方法的悬臂梁振动主动控制的matlab程序(LQR method using active vibration control matlab program cantilever)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)