awlz_pocket_all-vs-all

this file is the identification of the fermentation process using Monte-Carlo method to define Q-matrix. this m.file is a complete simulation of a chemical fermentation process which is done in Matlab. this job includes an on-line estimationn of the states of a control system and also the identification of the parameters of process. this work can be considered an identification research project to a great extent.

麻省理工大学-信号与系统--MATLAB导论 基本使用手册(MIT-Signals and Systems--MATLAB USER GUIDE)

测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)

Clear Case briefly introduction power point

suitable for analysizing power quality events on real-time waveforms

说明：  MATLAB在数字图像处理中，多次使用的语句，可以快速的学习数字图像处理(MATLAB in digital image processing, the repeated use of the statement, you can quickly learn digital image processing)

无约束多维极值问题,适合数学计算,优化分析等极值问题的求解(Unconstrained multi-dimensional extremum problem, is suitable for mathematical calculations, the extremum problems of solving optimization analysis, etc )

ofdm signal over awgn

包含MVC，GMV等的几种控制系统性能评估算法。还不错，分享一下(Generalized minimum variance control)

二维哈尔小波变换,可以用来学习matlab对图像处理.(Second维哈尔wavelet transform, can be used to study matlab for image processing.)