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Original
this code include particle filter techniques
- 2009-03-04 17:27:01下载
- 积分：1
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kalmancode
kalman滤波跟踪系统的源代码，初学者必看(kalman filter tracking system, source code, beginners must see)
- 2011-01-07 14:26:54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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somtoolbox3
说明： SOM算法,matlab程序,是经典的教科书的例子程序(SOM algorithm, Matlab procedures, are classic textbook example of procedures)
- 2005-11-03 15:59:53下载
- 积分：1
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Fuzzy-PID
模糊PID 例程，教学中的例子，分享一下啊(fuzzy PID)
- 2011-04-27 23:11:57下载
- 积分：1
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MATLAB
Rayleigh distribution function of a signal
- 2011-08-09 17:31:44下载
- 积分：1
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aee582_hw5
Generalized plant example
- 2013-01-14 08:14:01下载
- 积分：1
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svm
SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)
- 2010-07-31 10:21:45下载
- 积分：1
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05C21_460
A Fractional Order PID Tuning Algorithm
for A Class of Fractional Order Plants
- 2014-09-25 20:12:31下载
- 积分：1
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wg_dispersion
waveguide dispersion simulation
- 2014-11-10 21:03:33下载
- 积分：1
