Attitude-solving-operator-program

function pi = solve2(count,m,cc) 借助布冯投针实验 仿真求pi的值 pi=0 frq=0 randNo = binornd(1,cc,1,m) pro=zeros(1,count) for j=1:count for i = 1:m if randNo(1,i) == 1 frq = frq + 1 end pro(i) = frq/i end pi = (2*m)/frq pro(j) = pi end pro = pro,num =1:count plot(num,pro) (function pi = solve2 (count, m, cc) to vote with Buffon needle experiment simulation find the value of pi pi = 0 frq = 0 randNo = binornd (1, cc, 1, m) pro = zeros (1, count) for j = 1: count for i = 1: m if randNo (1, i) == 1 frq = frq+ 1 end pro (i) = frq/i end pi = (2* m )/frq pro (j) = pi end pro = pro, num = 1: count plot (num, pro) )

标准33节电配电网 simulink模型(Standard 33 saving distribution network simulink model)

Data distill from text file

说明：  matlab汇编语言，比较高质量的代码和文件，可以运行，很成功(language of matlab important)

说明：  一个用纯C语言编写的GABOR 变换源码，我在网上找了很久也没找到，只好自己根椐matlab版源码写了一个源码。(A pure C language source code written in GABOR transform, I am looking for a long time on the Internet had not found, had noted in their written a matlab source code version of source code.)

实现光伏电池输出的稳压。测试效果明显，对一般精确度的模块足够实现(pvmode，this is a good wenya mode)

this code for mattlab robert operators

Design, Fabrication and Characterization of III-N Based Solar Cells

Algorithme génétique NSGA-II

说明：  介绍了汽包锅炉燃烧控制系统的控制任务、量间关系、原则性控制方案、传统控制方法,以及解耦控制方法的发展 ,引入了 PID型神经网络控制系统的结构、学习算法、初始权值参数选取. MATLAB仿真结果表明 ,该控制系统对多变量强耦合时变的锅炉燃烧控制对象具有良好的解耦性能和自学习控制特性.(The control tasks, the relations between physical variables, the fundamental controlschemes, the conventional controlmethodsof the control system for steam drum boiler combustion)