shiyanwu

我收集到的智能控制作业，是关于模糊PID控制算法的，模糊算法和仿真框图均是基于smulink的，请大家多多执教。程序虽然简单，但对新手来说很实用。(I collected intelligent control operations on the fuzzy PID control algorithm, fuzzy algorithm and simulation block diagram are based on smulink, please everybody a lot of coaching. Procedure is simple, but very useful for novices.)

matlab-rtw实验例程matlab-rtw实验例程matlab-rtw实验例程(matlab real time)

说明：  对实现通过matlab进行图像处理的操作有一定的帮助与借鉴意义。(matlab image processing)

说明：  自编多尺度样本熵程序，实例中用于一段轴承故障数据，简单易懂。MultiscaleSampleEntropy函数中的SampleEntropy也可以单独拎出来计算单个样本熵。(Multi scale sample entropy is used for a section of bearing fault data, which is easy to understand. SampleEntropy in the MultiscaleSampleEntropy function can also be picked up separately to calculate the entropy of a single sample.)

Bayesian gauss algorithm

微动经典文献，可以帮助大家学习微动方面的知识。里面包含三篇文献，都是雷达目标回波的。(Fretting classic literature can help us learn fretting area. Which contains three documents are radar target echo.)

make image RGB to monocrhome

测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)

啁啾和高斯为初值的光孤子传播的非线性薛定谔方程快速傅里叶算法求解，3D图(Chirp and Gaussian for initial value soliton propagation of nonlinear Schrodinger equation fast Fourier algorithm for 3D Figure)

bermax command using and generating