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4x
说明: 基于协同优化算法的单目标轧制规程优化设计(Rolling schedule based on single-objective collaborative optimization optimized design)
- 2012-05-12 21:19:18下载
- 积分:1
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cpso_matalb
基于cpso文章,给出的一个matlab代码,添加测试函数即可运行。(Based on cpso, given a matlab code, add test function can be run.)
- 2014-01-21 10:33:19下载
- 积分:1
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safe_alpha1
说明: 这是一个信赖域方法的程序,简单实用,对初学者非常有用。(This is a trust region method procedures, simple, practical, very useful for beginners.
)
- 2011-03-24 12:16:26下载
- 积分:1
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spline
说明: 实现三次样条差值,与matlab实现的精度一样(Realize the difference between cubic spline, and the precision to achieve the same matlab)
- 2011-04-07 10:04:18下载
- 积分:1
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1234435
用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation
function [sys,x0,str,ts]=s_function(t,x,u,flag)
switch flag,
Initialization
case 0,
[sys,x0,str,ts]=mdlInitializeSizes
Outputs
case 3,
sys=mdlOutputs(t,x,u)
Unhandled flags
case {2, 4, 9 }
sys = []
Unexpected flags
otherwise
error([ Unhandled flag = ,num2str(flag)])
end
mdlInitializeSizes
function [sys,x0,str,ts]=mdlInitializeSizes
sizes = simsizes
sizes.NumContStates = 0
sizes.NumDiscStates = 0
sizes.NumOutputs = 3
sizes.NumInputs = 1
sizes.DirFeedthrough = 1
sizes.NumSampleTimes = 0
sys=simsizes(sizes)
x0=[]
str=[]
ts=[]
function sys=mdlOutputs(t,x,u)
x11d=sin(pi*t/2)
x21d=cos(pi*t)
x31d=1
sys(1)=x11d
sys(2)=x21d
sys(3)=x31d
)
- 2012-10-19 11:43:12下载
- 积分:1
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Exe0704
说明: MATLAB实用教程(第2版)实例源代码程序EXE0704(MATLAB Practical Guide (2nd Edition) examples source code program EXE0704)
- 2011-04-11 21:56:47下载
- 积分:1
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jidasiranguji
MATLAB控制系统仿真与设计实例,欢迎大家参考。(MATLAB simulation and control system design example, we welcome the reference.)
- 2014-01-08 16:54:33下载
- 积分:1
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NEWMARK2
利用newmark方法计算无阻尼系统,并作图(newmark calculated without damping system)
- 2009-04-03 19:46:10下载
- 积分:1
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AR_lms
各种LMS算法 包括变步长和归一化等,程序代码 参考!(bianbuchang LMS)
- 2014-01-12 18:07:49下载
- 积分:1
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ICA_algorithms_based_on_different_objective_functi
一共包含了5个ICA的算法,其中:
fastica.m文件中的ICA算法是基于负熵的;
m_fastica.m文件中的ICA算法是基于负熵的改进算法;
fastica_kurt.m文件中的ICA算法是基于峭度的;
fastica_ML.m文件中的ICA算法是基于互信息的;
NLPCA.m文件中的ICA算法是基于非线性PCA的。(Contains a total of five ICA algorithm, in which: fastica.m file in the ICA algorithm is based on negative entropy m_fastica.m file in the ICA algorithm is based on negative entropy of the improved algorithm fastica_kurt.m file in the ICA algorithm is Based on Kurtosis fastica_ML.m file in the ICA algorithm is based on mutual information NLPCA.m file in the ICA algorithm is based on nonlinear PCA' s.)
- 2020-11-21 20:19:36下载
- 积分:1