ok_sim_simple_PI

基于matlab的遗传算法的例程的M文件(Matlab genetic algorithm based on M-file routines)

kpca和pls对于cstr的故障诊断的比较与总结，效果比较理想，希望您采纳(Kpca and PLS for fault diagnosis of the comparison of CSTR and summarized, the effect is ideal, hope you adopted )

用蒙特卡洛法实现对排队等待问题的计算机模拟 (Monte-Carlo method to realize the problem of computer simulation of waiting)

基于环形的领域最优粒子群优化算法，MATLAB源程序(Based on the best areas of the ring particle swarm optimization algorithm, MATLAB source code)

这段程序是用来实现最优控制的，一段是关于倒立摆系统的，还有一个是一本书上的例题。比较适合初学者。(This procedure is used to achieve optimal control, a section is about the inverted pendulum system, there is a example on a book. More suitable for beginners.)

回声音频加密的matlab文件代码。用来数字水印隐藏( Echo audio file encryption matlab code. For Digital Watermarking)

全数字GMSK，Viterbi译码，代码完整清晰(all digital GMSK，Viterbi)

运动目标跟踪的经典算法，用于多媒体视频处理(Target Tracking classical algorithm for multimedia video processing)

DTC变化，傅里叶变换，基于DCT的压缩变换(DTC changes, Fourier transform, DCT-based compression transform)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)