Graficas

说明：  序惯最小二乘法，能够实现比最广二乘法好的结果(Sequential least square method, can achieve more than the most widely II multiplication good results)

Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

双馈电机 控制 波形很好 参数调节的很正确 得出了好的控制效果(Double-fed motor control waveform parameter adjustment is very well drawn correctly good control effect)

Displays an image with the right size and colors and with a title

说明：  分为三个函数，第一个函数的功能是用于读取ecg信号，找到小波变换模极大序列；第二个函数是子程序，用于多分辨率分解，使用 A trous 算法在分解的过程中，同时给出各级的细节和概貌，它们和原数据有着同样的长度；第三个函数是函数子程序，用于多分辨率分析中的重建。(Divided into three functions, the function of the first function is used to read the ecg signal, find the wavelet transform modulus maxima sequence second function is a subroutine for use in multi-resolution decomposition, the decomposition algorithm using A' trous process, and gives details of all levels and profiles, they are the original data have the same length third function is a function subprogram, for multi-resolution analysis of the reconstruction.)

this program used to design pid controller with genatic algorithm

曹梦龙 仿真大实验 实验四包括所有有用数据(Caomeng Long simulation experiment in Experiment 4, including all useful data)

matlab求解最优潮流的程序，这个最优潮流可以计算电力系统的潮流(matlab to solve the optimal power flow program, the OPF can calculate power flow)

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.