IEEE34

伪谱法优化软件，采用高斯伪谱法，适宜于解算飞行器轨迹优化问题(gopos 5.2)

全波形反演最速下降法，共轭梯度发matlab程序。仅供参考(Matlab conjugate gradient method)

blind source separation in matlab

Matlab编程实现FFT变换及频谱分析的程序代码（适合初学者加强理解）。（1)用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图；(2)进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选；(3)做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱；(4)用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图。(Matlab codes for FFT Understanding which contains sine wave,rectangular wave and the reletaed frequency spectrum figure about MSE,Log,IFFT and so on.)

用lin法求高阶方程，可解特征方程, 可以是两队复根，可以是一对复根和两个实根，也可以是四个实根。(lin method, solve latent function)

Quadrocopter model in Simulink with basic PID controller

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

knn-K近邻法实现两分类的函数代码，输入为两类的样本特征，和待测试的样本向量，输出为分类结果。(knn-K nearest neighbor method to achieve the two categories of function code, enter the characteristics of two types of samples, and samples to be tested vector, the output for the classification.)

利用遗传算法优化RBF神经网络的结构，包括优化权值、高斯基的中心和宽度(The use of genetic algorithm to optimize the structure of RBF neural network, including the right to optimize the value of the Gaussian center and width)

<精通MATLAB>根据这本书写的相应的运筹学里的源代码，都是最基本的算法，没有进行改进(<Proficient in MATLAB> According to this writing tacticians in the corresponding source code, are the most basic algorithm, no improvements)