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PPPUMA560U

于 2012-08-18 发布 文件大小:8KB
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下载积分: 1 下载次数: 14

代码说明:

  PUMA560仿真系统,基于MATLAB的robottics toolbox工具箱. (PUMA560 simulation system based on MATLAB robottics toolbox, toolbox.)

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  • TSMatrix1
    转置,就是一个转置,没有别的东西,还要说点什么!!!!(Transpose thank you very much!!!)
    2010-05-11 22:52:00下载
    积分:1
  • SAMP-urban-open-source
    SAMP 开源都市 非常完美 值得下载 (SAMP perfect city worth downloading open source)
    2014-08-29 20:35:12下载
    积分:1
  • VCMatlab
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    2010-06-25 12:37:38下载
    积分:1
  • lagrange
    用拉格朗日n次插值方法 对一系列离散点进行插值(N times with Lagrange interpolation method interpolates a series of discrete points)
    2015-01-25 20:02:44下载
    积分:1
  • Untitled1
    matlab绘制阵列正六边形。采用角度方法。(Draw a regular hexagon array matlab. Using the angle method.)
    2014-01-27 17:04:28下载
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    CPN网络,即对向传播网络,是将Kohonen特征映射网络与Grossberg基本竞争网络相结合,发挥各自特长的一种新型特征映射网络。(CPN network, the right to communication networks, Kohonen feature is the mapping of network and basic Grossberg competing networks combined play to their strong points of a new feature mapping network.)
    2007-04-06 11:44:46下载
    积分:1
  • PIDEquipment
    对控制装置及仪表的控制系统进行仿真,并给出性能分析(Control devices and instrumentation control system simulation and performance analysis is given )
    2011-07-09 22:03:38下载
    积分:1
  • POW
    an exemple of source that i was programming last night
    2014-12-11 03:28:11下载
    积分:1
  • MATLABanalogalgorithm
    一个matlab里面的基本操作的演示程序(Matlab basic operation inside a demonstration program)
    2010-11-16 09:45:22下载
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  • FPE
    说明:  按FPE定阶的 源程序:fpe.cpp M序列:M序列.txt 白噪声:Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数,再用fpe方法判断模型的阶次。 程序运行结果如下: n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出,当n=5时,fpe值最小,所以这时的模型阶次和参数估计值为最优结果: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)
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    积分:1
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