scm

doubly fed induction motor simulation using simulink

波束形成算法，采用了doa，capon等算法(Beamforming algorithm, using the doa, capon and other algorithms)

MATLAB下DLA二维程序源代码，可以模拟出二维图形并计算分形维数等(MATLAB under the DLA the 2D program source code, you can simulate two-dimensional graphics and calculation of the fractal dimension)

Boundary element method function [index,g,h,a,unb,x,u,un,uin]=bemlabecom(n,c,index,in,cin) [index,g,h,a,unb,x,u,un,uin]=bemlabecom(16,[0 0 0.25 0 0.5 0 0.75 0 1 0 1 0.25 1 0.5 1 0.75 1 1 0.75 1 0.5 1 0.25 1 0 1 0 0.75 0 0.5 0 0.25 0 0],[1 0 1 0 1 0 1 0 0 200 0 200 0 200 0 200 1 0 1 0 1 0 1 0 0 100 0 100 0 100 0 100],9,[0.25 0.25 0.50 0.25 0.75 0.25 0.25 0.50 0.50 0.50 0.75 0.50 0.25 0.75 0.50 0.75 0.75 0.75]) in bemlabecom2 we change a & unb to : a1 a2,unb1 unb2 n=number of nodes=number of element=number of point c=matrix that determine the coordinate of point m=coordinate of nodes in global coordinates index: determine u or un for boundary nodes in:number of internal nodes cin: coordinate of internal nodes

被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3(Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system, and then run the fuzzy control SIMULIK program. Position command is 0.5sin (10t), simulink see chap4_3)

刘金琨老师书上的滑模matlab模型程序，很具有代表性的例子，适合大家的滑模变控制学习。(Liu Jinkun teacher book sliding mode matlab model program, a very typical example for everyone sliding mode control learning.)

matlab神经网络30例，书和源码,都很经典，需要的同学赶快拿走(matlab neural network 30 cases of classic books and source code)

说明：  For load flow analysis of an interconnected power system

实现在matlab环境下的直线检测，效果很好(Straight line detection, with good results achieved in the matlab environment)

粒子滤波算法；粒子滤波算法源于Montecarlo的思想，即以某事件出现的频率来指代该事件的概率。因此在滤波过程中，需要用到概率如P(x)的地方，一概对变量x采样，以大量采样的分布近似来表示P(x)。因此，采用此一思想，在滤波过程中粒子滤波可以处理任意形式的概率，而不像Kalman滤波只能处理高斯分布的概率问题。他的一大优势也在于此。(these codes are particle filter resources codes which solve non-linear estimation problems.I wish that it is helpful to some people.I am glad to share it with others. )