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本文介绍了在matlab中设计实例：电压和无功功率模糊逻辑控制器为110千伏的变电站。(A design example of voltage and reactive power fuzzy logic controller for 110kV substation based on MATLAB is done in this paper. )

基于遗传算法的解决两点之间最短路径问题（有向权值图最短路径问题）(Based on the shortest path between a genetic algorithm to solve the problem of two (shortest path problem to the weight chart))

针对提出的故障信号，利用awgn加噪，对其进行小波软硬阈值降噪，提出一种改进阈值，利用五种自适应阈值函数sqtwolog、rigrsure、heursure、minimaxi和ddencmp中阈值选取原则，对软阈值、硬阈值和改进阈值进行降噪效果对比。(In view of the proposed fault signal, the wavelet soft and hard threshold de-noising is carried out by AWGN adding noise, and an improved threshold is proposed. The threshold selection principle of five adaptive threshold functions, sqtwolog, rigrsure, heursure, minimaxi and ddencmp, is used to compare the soft threshold, hard threshold and threshold value.)

说明：  中值滤波是图像预处理中的一种较常用的方法， 它能有效去除椒盐噪声等的影响。(The median filter is the image preprocessing of a more common method, it can effectively remove the impact of salt and pepper noise.)

用simulink中的SimMechanics模块搭建两关节机械臂模型，并用S-function函数编写控制程序，采用的是计算力矩法跟踪参考信号。(SimMechanics module structures in simulink model of two-joint robot arm, and write control program, a function of the S-function is computed torque method tracks the reference signal.)

说明：  灰色理论预测的MATLAB与VC混编实现(Gray theoretical predictions of the MATLAB and VC achieved mixed)

利用小波变换进行图像灰度增强，其中与直方图，中值滤波图像处理进行了对比(Using wavelet transform image gray enhanced, including histograms, median filter image processing were compared)

最优化算法的一些程序以及结构拓扑优化的一些程序，对于初学者来说他们是非常有用的学习资料，希望大家可以从中学习到知识。(topology optimization)

滚动轴承内外圈故障仿真信号MATLAB程序实现(MATLAB fault simulation signal bearing program)

最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。 费雪评分（Fisher评分） 围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)