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说明：  刘金坤的《先进PID控制及其MATLAB仿真》所有实例的源码，是学习各类PID控制的经典资料(Liu Jinkun the &quot Advanced PID Control and MATLAB Simulation&quot all instances of the source code, is to learn the classic information on various types of PID control)

可见光通信中，用来计算室内光强分布情况的代码，自己跑过了，没问题的。(optical power distribution)

基于MATLAB Simulink的JILES模型磁滞回线计算(hysteresis loop calculation of Jiles model, based on Matlab Simulink)

说明：  偏微分方程的MATLAB解法． 讲述如何利用pdetool工具箱求解偏微分方程． (MATLAB PDE solution. Pdetool on how to use toolkit for partial differential equations.)

可以计算出航空发动机的风扇及其相关部件的相关参数(Can be calculated fan of aircraft engines, the relevant parameters and associated components)

Windpower technology dates back many centuries. There are historical claims that wind machines which harness the power of the wind date back beyond the time of the ancient Egyptians. Hero of Alexandria used a simple windmill to power an organ whilst the Babylonian emperor, Hammurabi, used windmills for an ambitious irrigation project as early as the 17th century BC.

利用ＤＣＴ变换给图像插入水印信息，配有详细步骤说明( Use of DCT insert watermark to the image, with a detailed description of the steps)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

Aplication PID in Matlab

Realization of Horn-Antenna for plotting radiation pattern in matlab using finite difference time domain method