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chap6_4

于 2012-05-13 发布 文件大小:1KB
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   一段基于自抗扰控制器的仿真代码( )

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  • 7
    说明:  本程序是数制转换问题,为十进制数字和罗马数值间的相互转化,本程序用的是函数调用法(This program is the number of system conversion problems, in order to decimal numbers and value of the inter-conversion of Rome, this program using a function call method)
    2009-12-27 21:35:22下载
    积分:1
  • montecarlo
    说明:  此文件包括蒙特卡罗方法的基本思想及应用,有很多MATLAB实例,是学习蒙特卡罗方法的很好资料。没有解压密码(this document, including the Monte Carlo method and the application of the basic idea, there are many examples of MATLAB study is a good method of Monte Carlo data. No extracting passwords)
    2020-12-11 16:09:17下载
    积分:1
  • Simulinkdigtal
    各种数字基带的调制调频,就是调幅啊,很简单的啊等等 (DSB modulation for sine signal,is it ok ,so easy.)
    2011-06-01 18:21:24下载
    积分:1
  • Fabry-Perot Simulator
    高斯光束在F-P干涉仪中的传输模拟(Simulates Gaussian beam propagation through a Fabry-Perot interferometer with adjustable error angles.)
    2017-12-23 17:58:48下载
    积分:1
  • c10
    系统同步的matlab程序,载波同步,符号同步,帧同步(Synchronization of the matlab program, carrier synchronization, symbol synchronization, frame synchronization)
    2010-07-30 15:06:59下载
    积分:1
  • Fingerprint-Recognition
    fingerprint recognition
    2011-07-03 20:17:17下载
    积分:1
  • chapter-2
    MATLAB 程序设计语言基础,基本数学运算,MATLAB语言流程控制,函数编写与调试,二维图形绘制,三维图形表示,MATLAB语言与现代科学运算. (MATLAB language process controlling)
    2014-10-18 11:56:04下载
    积分:1
  • abcd3
    This is a test code to show the spectrum of sine wave.
    2014-01-26 23:51:55下载
    积分:1
  • dicm2nii
    DICOM to NIfTI converter by Xiangrui Li
    2014-02-07 02:56:11下载
    积分:1
  • GAforPathPlaning
    采用栅格对机器人的工作空间进行划分,再利用优化算法对机器人路径优化,是采用智能算法求最优路径的一个经典问题。目前,采用蚁群算法在栅格地图上进行路径优化取得比较好的效果,而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括:1保证路径不间断,2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的,就是种群初始化,选择,交叉,变异,适应度计算这样,那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)
    2019-05-02 14:56:19下载
    积分:1
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