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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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Gill
This the mathematical computational method of step-vary Gill method.
- 2007-09-07 20:30:07下载
- 积分：1
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code
matlab code from the states university of new york in the united states
- 2010-11-19 01:36:56下载
- 积分：1
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hrrqr
It is a QR decomposition method matlab function for rank revealingm atrix. It is a high rank reveling QR decompostion method.
- 2015-01-05 14:16:24下载
- 积分：1
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EMD--LabVIEW--MATLAB
本书籍介绍了EMD信号处理方法在LabVIEW以及MATLAB中实现方法，简单易懂(This book introduces realization method of the EMD signal processing method in LabVIEW and MATLAB，simple and easy to understand)
- 2014-01-05 16:25:57下载
- 积分：1
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Random_Forest
内涵PCA降维;SMOTE插值;t-SNE降维等算法的随机森林算法，以及鸢尾花数据集，有利于新手或者工程性实验借鉴~(Connotative PCA dimensionality reduction; SMOTE interpolation; t-SNE dimensionality reduction algorithms such as random forest algorithm, as well as iris data sets, is conducive to novice or engineering experiment reference ~)
- 2018-08-20 09:49:11下载
- 积分：1
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Program-of-chap1
The program about sliding mode control:
chap1_1ctrl.m
chap1_1plant.m
chap1_1plot.m
chap1_1sim.m
....
- 2013-12-14 16:14:43下载
- 积分：1
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pca
对于数据进行主成分分析，并对每一组分的得分进行了计算(Principal component)
- 2017-12-17 17:24:49下载
- 积分：1
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MDWT
多维小波变换工具箱 V1.0
作者：陈甫
作者email: chen_fu@263.net
论坛: mathworld.yeah.net(V1.0 of multi-dimensional wavelet transform toolbox: Chen Fu of email: chen_fu@263.net Forum: mathworld.yeah.net)
- 2010-08-10 21:59:43下载
- 积分：1
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FrequenceDetect
分别使用LS和TLS算法，计算出混合信号的频率。该频率估计算法的数学模型是基于ARMA模型。其中还包括详细的设计报告，有一定的参考价值。(LS and TLS algorithms were used to calculate the mixed-signal frequency. The mathematical model of the frequency estimation algorithm is based on ARMA models. It also includes detailed design report, a certain reference value.)
- 2011-01-05 17:22:14下载
- 积分：1
