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Model Predictive Control Toolbox
Model Predictive Control模型预测控制是目前流行的控制算法，以往的MPC算法都是要依靠S函数实现，本例使用MPC工具箱，详细说明了控制变量和状态变量的设定(Model predictive control (MPC) is a popular control algorithm at present. The previous MPC algorithms are implemented by S function. In this case, MPC toolbox is used to specify the setting of control variables and state variables)
- 2018-11-07 18:49:48下载
- 积分：1
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GRM
palmer s method gor calculatin near surfave velocity by "generalized reciprocal method"
- 2010-12-01 21:10:25下载
- 积分：1
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idftprogram
idft using dit fft of the sequence and comparing using ifft function
- 2011-02-05 15:11:06下载
- 积分：1
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genetic-fuzzy-(ga_fuzzy)
genetic fuzzy (ga_fuzzy) pid gain optimal
- 2013-12-09 07:41:58下载
- 积分：1
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fs_sup_relieff
Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重：
如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules:
If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
- 2018-04-17 14:41:55下载
- 积分：1
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LMS_Algo
功能描述：用matlab语言实现LMS自适应算法
函数名：LMS_Algo
输入参数：
(1)M:滤波器的阶数
(2)N:LMS算法迭代的次数
(3)mu:自适应参数
(4)xn:LMS算法的输入序列
输出参数：
(1)系数矢量A (Function Description: The LMS adaptive algorithm matlab language function name: LMS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) mu: adaptive parameters (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A )
- 2010-07-11 12:13:12下载
- 积分：1
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RMA1
条带式SAR的正侧视仿真，采用RMA算法进行仿真(Striped positive side-looking SAR simulation, the simulation using RMA algorithm)
- 2010-07-25 10:50:37下载
- 积分：1
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bdabc
brushless dc motor model
- 2010-12-21 21:52:45下载
- 积分：1
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SmartAntenna
说明： 关于智能天线的硕士论文，有matlab仿真方案，可以好好研读。(Smart antenna on the master s thesis, a matlab simulation program, you can make good reading.)
- 2008-09-15 20:55:52下载
- 积分：1
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UC1682_TEST_CODE
COLOR STN UC1682 TEST CODE.(COLOR CODE TEST STN UC1682.)
- 2007-06-16 11:13:45下载
- 积分：1
