Decoupling-control-requirements-u

face recognition using pca and ann wih training and testing and validation privided for ORL databases

viet nam electronic and telecommunications technology joint stock company

直接序列扩频仿真实例，产生m序列，然后进行扩频通信，对初学者很有用啊(Direct Sequence Spread Spectrum simulation example, useful for beginners )

function [mubnd,var,dc,dr,gcr,grc] = bub(m,blk,Dinitbnd,Ginitbnd,pmu,diagnose,clevel)

This file contains simulink file for solar panal MPPT algorithm using P&O method.

tvp-var model 可以用来做TVP-VAR模型(tvp-var model for good use)

matlab及其强大的教程。包括了入门级到高手级。(matlab and powerful tutorial. Including the entry-level to expert level.)

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

用卡尔曼滤波器实现目标追踪，利用蒙特卡洛的方法对跟踪滤波器进行仿真分析，次数为1000次 (Kalman filter to achieve target tracking, using the Monte Carlo method of tracking filter simulation analysis, the number is 1000 times)

Charset_ISO_8859_10 extends Charset_AbstractTest.