PMmachine

模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵， Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)

matlab编写的视频监控采集和目标提示软件，请批评指正！！！(matlab prepared video surveillance and target acquisition software tips, please criticism! ! !)

SVM multi classifier with diferent Kernels example

广义预测控制(GPC)是一种鲁棒性强、能够有效地克服系统滞后、可应用于开环不稳定非最小相位系统的先进控制算法，但由于它需要Diophantine方程计算、矩阵求逆和最小二乘的递推求解，因此计算量很大，本程序针对此缺陷提出四种不基于对象模型且实时性高的广义预测控制快速算法(Generalized Predictive Control)

光斑质心计算，可以完成光斑质心点的确定，可同时计算36质心点(Spot centroid calculation can be done to determine the centroid of the light spot, which can calculate the centroid 36)

基于matlab实现的椭圆拟合代码！包括经典的几种椭圆拟合方法！(The ellipse fitting based on matlab code! )

广义预测控制标准程序，单入单出和多入多出的，无扰动情况下(Generalized Predictive Control Program, SISO and MIMO for)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

说明：  利用层次分析法来解决数学或经济学中的问题，里面有AHP程序以及相应的AHP建模的讲解说明(Use of AHP to solve the problems in mathematics or economics, there are procedures and the corresponding AHP AHP modeling to explain instructions)

本代码实现的是基于主成分分析的特征脸。运行环境为Matlab。(The code is based on principal component analysis feature face. Operating environment for Matlab.)