fuzzy-control

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

Simple guide examples

说明：  MPC CONTROLLER LOGARITHMS

格子BLOTZMANN方法，两相流 matlab程序(Lattice BLOTZMANN method, two phase flow matlab program)

免疫算法，与遗传算法相似，只是多用了一个免疫函数；免疫算法是遗传算法的变体，它不用杂交，而是采用注入疫苗的方法。(Immune algorithm, similar to the genetic algorithm, but the use of an immune function; immune algorithm is a variant of genetic algorithms, it does not hybrid, but the use of vaccination method.)

用SVM实现人脸特征提取和识别，用matlab编写，和结果分析(A matlab code of SVM for face recognition)

说明：  线性预测算法 输入：阶数p，快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。 输出：线性预测谱估计矩阵P。(Linear prediction algorithm Input: the order of p, snapshot data covariance matrix R, observe the direction in the range of steering vector, three-dimensional matrix phiyz. Output: linear prediction spectral estimation matrix P.)

一阶QKF（积分卡尔曼滤波）算法，性能优于UKF、EKF，谢谢~(An order QKF (integral Kalman filter) algorithm outperforms UKF, EKF, thank you ~)

simulink中对工作于DCM模式下的buck电路的闭环仿真模型(closed-loop simulation of buck converter working in DCM mode)

Interactive smoothing for your own data, with sliders to control derivative order, smooth width, and scale expansion.