MATLAB-50-TESTS

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)

在自适应控制中，用Matlab算法实现广义最小方差控制(In adaptive control, using Matlab algorithm generalized minimum variance control)

说明：  Plot of signal neural

The Wind Farm (DFIG detailed model demo of the Distributed Resources application library does not simulathe demo that is missing. This file is normally d at the simulation start in order to define an initial state vector that starts the model in steady state.

This matlab file explains the operation of Boost and buckboost converter with open loop as well as closed loop operation for voltage regulation and power factor improvement.

unit commitment problem

蜂群算法之函数寻优，matlab编写，旨在寻找函数最优解。在大约相同的耗时下，BSO的收敛条件比PSO苛刻，即BSO更容易收敛；收敛位置上，PSO优于BSO，不论是平均情况还是最差情况。(Bee Search Optimization)

calculation of transformator parameters by Mfile in Matalb software (power engineering field)

混合群智能优化的模糊PID控制,该设计用于汽轮机调速器的设计(A Hybrid PSO_Fuzzy_PID Controller for Gas Turbine Speed Control)

这是一个利用维纳滤波实现语音增强的matlab程序.在输入语音信噪比不是很低的情况下,效果不错.(This is a use of Wiener filtering speech enhancement matlab program, good results in a low signal-to-noise ratio of the input speech is not the case.)