Description: 好用的。系统辨识中，递推最小二乘估计（RLS）是辨识模型阶次的一个重要的算法。该程序通过实现该算法，得到模型阶次的估计值以及相关参数值。
-refrain. System identification, estimation recursive least squares (RLS) identification model is of the order of an important algorithm. The procedures through the realization of the algorithm, to be the order of the model and estimated value of the relevant parameters. Platform: |
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Author:叶梭 |
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Description: 利用系统辨识的方法，根据传感器实际输出和理想等效系统的输出，来辨识补偿环节的模型-use of the system identification method, in accordance with the actual sensor output and ideal equivalent system output Identification link compensation to the model Platform: |
Size: 1024 |
Author:zyyandadianzi |
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Description: 这是CISS会议上发表的著名论文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-output case”的源程序，主要是讲基于张量规范分解的多天线系统的忙识别问题，里边包含了相应的文章，可以一起对照着看。-conference on the famous treatise "Tensor Canonical deco mposition based method for blind identificati on of MIMO system with 3-input 2-output case, "the source procedures, primarily based on stress tensor decomposition of standardized multiple antenna system to identify problems in the 1980s, contained inside a corresponding article, can work together to look to see. Platform: |
Size: 177152 |
Author:到达 |
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Description: 用MATLAB实现MIMO系统盲辨识，包含详细的说明文件和源码，非常经典-Using MATLAB realize blind MIMO system identification, contains a detailed documentation and source code, very classic Platform: |
Size: 36864 |
Author:王丽 |
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Description: 此书是关于系统辨识的课件，是在matlab语言环境下实现的，内容全面。-This book is about the system identification of the courseware is in the matlab language environment to achieve, a comprehensive report. Platform: |
Size: 2434048 |
Author:文如泉 |
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Description: 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 Platform: |
Size: 1031168 |
Author:kedle |
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Description: ex6_1 ～ ex6_3二项分布的随机数据的产生
ex6_4 ～ ex6_6通用函数计算概率密度函数值
ex6_7 ～ ex6_20常见分布的密度函数
ex6_21 ～ ex6_33随机变量的数字特征
ex6_34 采用periodogram函数来计算功率谱
ex6_35 利用FFT直接法计算上面噪声信号的功率谱
ex6_36 利用间接法重新计算上例中噪声信号的功率谱
ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较
ex6_38 在置信度为0.95的区间上估计有色噪声x的PSD
ex6_39 在置信度为0.95的区间上估计两个有色噪声x，y之间的CSD
ex6_40 用程序代码来实现Welch方法的功率谱估计
ex6_41 用Welch方法进行PSD估计，并比较当采用不同窗函数时的结果
ex6_42 用Yule-Walker AR法进行PSD估计
ex6_43 用Burg算法计算AR模型的参数
ex6_44 用Burg法PSD估计
ex6_45 比较协方差方法与改进的协方差方法在功率谱估计中的效果
ex6_46 用Multitaper法进行PSD估计
ex6_47 用MUSIC法进行PSD估计
ex6_48 用特征向量法进行PSD估计-ex6_1 ~ ex6_3 binomial distribution of the generated random data
ex6_4 ~ ex6_6 generic function value of the probability density function
ex6_7 ~ ex6_20 common distribution density function
ex6_21 ~ ex6_33 figure characteristics of random variables
periodogram function ex6_34 used to calculate the power spectrum
ex6_35 direct method using FFT signal above the noise of the power spectrum
ex6_36 recalculated using the indirect method on the example of the power spectrum of noise signal
tfe function ex6_37 used for system identification, and results were compared with the ideal
ex6_38 at 0.95 confidence interval for the estimated colored noise x on the PSD
ex6_39 at 0.95 confidence interval of the two colored noise on the estimated x, y between the CSD
ex6_40 code used to achieve the Welch method of power spectrum estimation
Welch method ex6_41 with PSD estimates, and compare different window function when the results when
ex6_42 using Yule-Walker AR method is esti Platform: |
Size: 7168 |
Author:张满超 |
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Description: Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat, ExampleModel.mdl, Friction_Model.mdl. Any other data files used in the presentation already ship with the toolbox (ver 7.0).
Products used:
- You basically need only System Identification Toolbox (SITB) to try out most examples.
- To use Simulink blocks, you would, of course, need Simulink.
- Control System Toolbox is used at one place to show how estimated models can be converted into LTI objects (SS, TF etc)
- Optimization Toolbox will be used if available for grey box estimation. If not, SITB s built-in optimizers will be used automatically.
- Other products mentioned: Neural Network Toolbox, Model Predictive Control Toolbox and Robust Control Toolbox.
Platform: |
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Author:陈翼男 |
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Description: 在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。-In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments. Platform: |
Size: 3072 |
Author:bigbigtom |
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Description: 系统辨识及其matlab仿真
《系统辨识及其MATLAB仿真》附带的光盘注释:
打开系统辨识及其MATLAB仿真程序与剖析夹 ：
1）“ch2,ch5,ch7辨识程序夹”文件夹为第2章、第5章、第7章的7个MATLAB辨识仿真源程序，可直接在MATLAB6.I环境下运行；对应“*.doc文件”是ch2,ch5,ch7的各程序的注释与剖析。
2）“ch3,ch4,ch6辨识程序”文件夹为第3章、第4章、第6章的6个MATLAB辨识仿真源程序，可直接在MATLAB6.I环境下运行；另一部分“*.doc文件”是ch3,ch4,ch6的各程序的注释与剖析。
3) 两个rar压缩文件解压时密码在本书的前言部分。-System identification and matlab simulation system identification MATLAB simulation that came with CD-ROM Note: open system identification MATLAB simulation program and analysis of the folder: 1) " ch2, ch5, ch7 recognition program folder" folder for Chapter 2 Chapter 5, Chapter 7 of 7 MATLAB simulation identification source, can be directly run MATLAB6.I environment corresponds to the " *. doc files ch2,, ch5, ch7 the program annotation and analysis of 2) " ch3, ch4, ch6 identification procedures" file folder for Chapter 3, Chapter 4, Chapter 6 of 6 MATLAB simulation identification source, can be run directly in MATLAB6.I environment another part of the " *. Doc Document ch3, ch4, the ch6' s program annotation and analysis of 3) extract the compressed files in two rar password in the foreword to the book section. Platform: |
Size: 698368 |
Author:马新宇 |
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Description: ：首先介绍了系统辨识的基本原理，简要介绍了Matlab中系统辨识
的实现方法。并结合具体的例子，显示Matlab系统辨识工具箱在系统辨
识中的强大功能和辨识快速准确等优点。-This paper introduces the basic theory of System Identification，the
realization method in Matlab and presents the strong function of System
Identification toolbox with the merit of fast，precision and SO 011 by an
example． Platform: |
Size: 228352 |
Author:asda |
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Description: MATLAB toolbox control engineering technical manual. This book provide readers with the use of MATLAB practical guidance. Mainly with the introduction of the MATLAB control engineering related to six basic toolbox: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox. Platform: |
Size: 2319360 |
Author:chethanraj |
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Description: 用Matlab实现自适应信号处理中的系统辨识，自适应处理器采用自适应线性组合器，未知被控系统采用AR model。用了LMS算法和最速下降法实现。-Realise system identification in adaptive signal processing with matlab.The LMS algorithm and Speedest Descent method are used. Platform: |
Size: 513024 |
Author:mingzhan |
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Description: 一本很好的学习系统辨识的书籍，内容清晰，并且附带有MATLAB程序的例子，非常适合初学者学习。-A good learning system identification books, the content is clear, and with examples of MATLAB procedures, very suitable for beginners to learn. Platform: |
Size: 10540032 |
Author:梁霞 |
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Description: 对动态系统辨识理论做了概括性的介绍，包含了常用的非参数系统辨识方法和参数辨识方法，并将神经网络人工智能算法应用到复杂系统参数识别，适用于系统控制、参数识别与数据预测等领域的学习。传统方法与现在智能算法都配有实例，每个代码文件都有详细注释。(This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system identification methods and parameter identification methods, and applies neural network artificial intelligence algorithms to complex system parameter identification, which is suitable for system control, parameter identification and data prediction. Learning in other fields. Both traditional methods and current smart algorithms are equipped with examples, and each code file has detailed comments.) Platform: |
Size: 716800 |
Author:盖勒 |
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Description: 本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.) Platform: |
Size: 3789824 |
Author:www.wobishe.com |
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Description: 本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.) Platform: |
Size: 3682304 |
Author:可乐一生 |
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Search - system identification with matlab