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Neural_Network_PID_Control_and_MATLAB_Simulation
论文《神经网络PID控制及其MATLAB仿真》(Neural Network PID Control and MATLAB Simulation)
- 2010-05-21 14:26:51下载
- 积分：1
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detypy
算屈服点，延性系数 采用matlab编写的 通用屈服弯矩法(matlab )
- 2013-11-11 15:48:16下载
- 积分：1
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runlengthcode
对二值图像（黑白图像）每行值进行RUN-LENGTH编码和解码(pair of two binary image (black-and-white images) per line value RUN-LENGTH coding and decoding)
- 2007-03-21 08:29:03下载
- 积分：1
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svmTrain
svmTrain svm在matlab中运行 训练(svmTrain svm training run in matlab)
- 2020-11-29 22:09:27下载
- 积分：1
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ddhuffman
对任意一组输入的字符串进行哈夫曼编码，然后解码(Huffman coding and decoding on a set of strings)
- 2012-07-18 21:57:28下载
- 积分：1
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digitrecognition
antnet algorithm using network
- 2014-11-06 23:10:37下载
- 积分：1
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image_warping
matlab file for image processing
- 2009-12-06 03:29:39下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
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FCSmodel
质子交换膜燃料电池模型，基于Matlab的燃料电池模型，适用于能源领域(The proton exchange membrane fuel cell model, Matlab-based fuel cell model, applicable in the field of energy)
- 2020-11-21 10:39:37下载
- 积分：1
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SPCA_ALM
matlab 代码 实现 spca分解(matlab code spca decomposition)
- 2012-11-23 20:01:32下载
- 积分：1
