登录
首页 » matlab » yibudianjisimulink

yibudianjisimulink

于 2011-05-28 发布 文件大小:47KB
0 222
下载积分: 1 下载次数: 17

代码说明:

  基于MATLABsimulink各种电机常用模型,主要为park变换clark变换(Commonly used models based on MATLABsimulink a variety of motor, the main change for the park transform clark)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • ChaosToolbox2p1_trial123
    说明:  好东西,相空间重构matlab程序 编程学习资料(Good things, phase space reconstruction matlab programming learning materials)
    2011-03-02 16:56:34下载
    积分:1
  • DISTRA
    说明:  matlab代码功能实现图像的距离变化,已经通过调试成功!(matlab code image of the distance function changes have been adopted successfully debug!)
    2008-09-17 17:10:16下载
    积分:1
  • 4RRR_with_GUI
    4RRR运动学相关程序,添加了多种解决方案,也是一个不断变化的图形用户界面,对几乎所有的模拟参数允许使用。 (4RRR kinematics procedures, adding a variety of solutions, but also a changing of the graphical user interface, almost all of the simulation parameters allowed.)
    2010-07-22 15:52:34下载
    积分:1
  • Rayleigh11.m
    一种改进型的瑞利信道仿真模型小案例(JAKES参考模型)(An improved version of the Rayleigh channel simulation model for small cases (JAKES Reference Model))
    2008-07-03 16:19:02下载
    积分:1
  • Factor-analysis
    对数据进行因子分析matlab完整代码。(Factor analysis of the data integrity matlab code.)
    2013-08-25 10:51:26下载
    积分:1
  • Project-System-Identification-submit
    Project System Identification submit
    2013-10-10 22:09:10下载
    积分:1
  • dingbuchangLMS
    最新的定步长LMS自适应滤波算法,对自适应算法有很大帮助(The latest fixed step size LMS adaptive filtering algorithm)
    2015-01-12 12:39:18下载
    积分:1
  • copulas
    copula函数经典 Roger B. Nelsen An Introduction to Copulas( Roger B. Nelsen An Introduction to Copulas)
    2010-06-15 21:11:51下载
    积分:1
  • SGAPublic
    说明:  SGA(Simple Genetic Algorithm)是一种强大的智能多变量优化算法,它模仿种群繁殖规律来进行优化。本SGA可以优化变量,求最小值,最大值(当把函数倒数也就求最小值) 并且支持浮点编码,grey编码,二进制编码;轮赌法选择,锦标赛选择;单点交叉,均布交叉,浮点交叉;单点变异,浮点变异;调用时Genetic(目标函数名) 使用SGA时,首先需要一个目标函数(像AimFunc.m),该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)
    2011-03-15 15:33:34下载
    积分:1
  • buckconv_try_pm
    A model for PM-synchronous generator connected to 3phase bridge rectifier then buck converter
    2010-05-13 00:08:23下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载