MatlabP30

Simulink for Inverted pendulum.

matlab实现的小波变换，结果用轮廓线图表示(err)

用matlab设计的概率神经网络，内附演示程序(using Matlab design of probabilistic neural network, enclosing Demonstration Program)

0-1整数规划有很广泛的应用背景，比如指派问题，背包问题等等，实际上TSP问题也是一个0-1问题，当然这些问题都是NP问题，对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的，本程序只不过是一个练习，得意之处是用递归法把所有解都排列出来。另：胡运权所著的《运筹学基础及应用（第三版）》第97页的例3，我用本程序求解得到的结果是：最优解是x*=(1,0, 0, 0, 0)，最优值是f(x*)=8，但书求得最优解是x*=(1,0, 1, 0, 0)，最优值是f(x*)=4，是不是书中写错了，请大家验证。以下是源程序，大家可以任意使用无版权问题，另外，如果大家有大规模的0-1规划的问题也希望提供给我，谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)

this code is use in telecommunication matlab code

ookd是相位调制的一种代码程序，可以看到调制效果。(ookd)

这篇文章也很不错，是有关DVV滴定的，最近一直在看，希望对感兴趣的朋友有帮助！谢谢！(This article is also very good, is about the DVV titration, has recently been looking at, want to help friends interested! Thank you!)

自己编写的一个二维时钟模拟程序，没有定时的功能(I have written a two-dimensional clock simulation program, regular features)

MATLAB离散散点图和回归曲线图，非常好用，附有注释(MATLAB discrete scatter plot and regression curves, very easy to use, with comments)

题目：已知被控对象为 1/(10s+1)*exp(-0.5s)。假设系统给定为阶跃值r＝30，采样时间为0.5s，系统的初始值r(0)＝0。试分别设计： (1)常规的PID控制器； (2)常规的模糊控制器； 分别对上述2种控制器进行Matlab仿真，并比较控制效果 (Topic: Known charged object is 1/(10s+1)* exp (-0.5s). Assume that the system is given as the step value r = 30, the sampling time of 0.5s, the system the initial values ​ ​ of R (0) = 0. Trial were designed: (1) conventional PID controller (2) conventional fuzzy controller Matlab simulation of the two kinds of controllers, respectively, and compare the control effect)