MatLab-program-design

说明：  一个闭环的SVPWM控制，可以稳定控制电机作为毕业设计用(A closed loop of the SVPWM control, stability control motor can be used as a graduation project)

本例演示：如何依靠全局变量传递控件的图柄，从而保证回调动作正确执行。(the cases demonstrate : how to rely on the global variable transmission control plans handles, and the action so as to ensure correct implementation of a callback.)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

Histology images reveal grade-differentiating parameters for breast cancer

this is model of sinus pulse width modulator

《MATLAB R2008图形与动画编程实例教程》的源代码--第四章(" MATLAB R2008 examples of graphics and animation programming tutorial" source code- Chapter IV)

一种用MATLAB实现的控制，能达到很优的效果，大家不防试试。(A MATLAB implementation of the control, can achieve the very excellent results, we do not try prevention.)

A NEW MATLAB TOOLBOX OF FEILD ORIENTED CONTROL (FOC) PROCEDURE FO INDUCTION MACHINE DECOUPLING.

使用Matlab语言编写的俄罗斯方块游戏，参考学习借鉴。(Using the Matlab language of the Tetris game, reference and learn from.)

模态分析程序，一定要有实验现场的数据，要不运行不了(Modal analysis program, there must be experimental field data, or not running)