24_point

说明：  书籍以及对应的例程，都可以使用 非常好用，而且每个章节也会有对应的模型，是有关于PMSM模型的，可以学习到 滑模控制、FOC控制以及弱磁等控制巴拉巴拉的(Books and corresponding routines can be used very easily. Moreover, there will be corresponding models in each chapter, which is about PMSM model. You can learn sliding mode control, FOC control and flux weakening control of Balabala)

该程序是将摄像机旋转矩阵反求得到欧拉角过程，算法简单，容易操作。(The program is to get the camera rotation matrix Euler angle reverse the process, the algorithm is simple, easy to operate.)

通信系统仿真原理及其应用第五章升余弦例子(Principles of Communication System Simulation and its application Chapter V examples Raised Cosine)

ieee 5节点程序电力系统的分析和计算中，需要不同网络结构和参数。在应 用这些参数之前，收集和整理工作会花费大量的时间和精力。(ieee 5 node procedure and calculation of power system analysis, the need for different network structures and parameters. Before applying these parameters, the collection and collation will spend a lot of time and effort.)

这是一篇关于InSAR干涉图滤波方法的文章。不错(This is the one about the InSAR interferogram filtering method article. very good)

信号处理滤波器程序，可以加窗函数等操作，(Signal processing filter procedures, functions and other operations can be added to the window,)

AQUILA Self consistnet Poisson Schrodinger solver

该程序算法用于求解以矩阵不等式形式表示的控制器问题，锥补线性化算法（CCLA）可以对非线性矩阵不等式作线性化处理，再利用Matlab中工具求解线性矩阵不等式（LMI），即可求得控制器增益参数。(The program algorithm is used for solving the controller problem expressed in the form of matrix inequalities. The cone complementarity linearization algorithm (CCLA) can linear process the non-linear matrix inequalities, then use the Matlab tools for solving linear matrix inequalities (LMI), you can obtain the controller gain parameters.)

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

多自由度有阻尼系统的MATLAB求解代码，输入刚度，阻尼，平衡方程，自动计算结构阻尼频率和振型。(The MATLAB solution code of the damping system with multiple degrees of freedom is used to enter the stiffness, damping and equilibrium equations, and the damping frequency and vibration mode of the structure are automatically calculated.)