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控制工具箱与SIMULINK软件应用：系统对象为G(s)=4/s(s+2) PI补偿器K1(s)=(s+1)/s K2(s)=(s+0.5)/s a 若由K1(s)与 G(s)串联组成的单位反馈系统，称为系统A。 b 若由K1(s) 放置在G(s)的反馈通道称为系统B。 c 若由K2(s)与G(s)串联组成的单位称为系统C，绘制上述每一种情况的阶跃响应与斜坡响应，求每一种情况下的系统阶跃响应误差与斜坡响应误差，并与理论分析结果进行比较。 (Control toolbox and SIMULINK software application: system object for G (s) = 4/s (s+ 2) PI compensator K1 (s) = (s+ 1)/s K2 (s) = (s+ 0.5)/s If a by K1 (s) and G (s) series of feedback system of the unit, known as a system a. B if the K1 (s) placed in G (s) feedback channel called system b. If c by K2 (s) and G (s) series of unit is called system c, draw the above each kind of condition of step response and slope response, for each of these cases system step response error and slope response error, and the results were compared with theoretical analysis.)

八阵元智能天线阵列接收4个信号，用Matlab仿真实验验证波达方向估计，主要涉及的算法是MUSIC和MVDR(Eight smart antenna array receiver array element 4 signals, with the Matlab simulation results verify the estimation, mainly related to the algorithm is MUSIC and MVDR)

有关DFA和MF-DFA的一些代码，只要你能仔细阅读的话相信总有一个适合您(Some code about DFA and MF-DFA, as long as you can read carefully, then I believe there is always a right for you)

说明：  DNA description based on matlab programming. It s able to distinguish the gain or loss section of each chromosome

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

fish swarm main code

说明：  MATLAB做的STATCOM，用于无功补偿和功率因数校正(power factor corrector using statcom)

wigner_ville分布的计算分析和理解产生仿真图可以好好的学习(wigner_ville distributed computational analysis and understanding of the simulation diagram can produce proper study)

是IEEE30节点的电力系统潮流计算程序，附有详细说明，经过验证，程序结构简单易懂。(it is IEEE30 node flow calculation.It incliudes explation.And it has pass the test.It is very easy to understand.)

卡尔曼滤波及噪声对滤波效果的影响，大家可以一起研究研究(The impact of noise on the Kalman filter and the filtering effect of significance significance significance significance)