Description: matlab在系统辨识中的应用此处为M序列产生的源代码及运行后结果（包括图像）-Matlab system identification in the application here for the M series of source code and run after the results (including images) Platform: |
Size: 10240 |
Author:于瑞 |
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Description: 此为《系统辨识及MATLAB》科学出版社，作者侯媛彬、汪梅、王立琦。可对系统辨识有较为实际的了解-as the "System Identification and MATLAB" Science Publishers, authors Hou Yuanbin, WANG Mei, Wang Liqi. The system can identify any more realistic understanding Platform: |
Size: 9216 |
Author:叶倩 |
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Description: Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System
Blind Identification Matlab Code
-Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System Blin Matlab d Identification Code Platform: |
Size: 22528 |
Author:于蕾 |
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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: 简单的最小二乘逼近算法，用于系统辨识，方便修改噪声参数和系统参数，为系统辨识和仿真作业的源代码。-Simple least-squares approximation algorithm for system identification to facilitate the modification of system parameters and noise parameters for the system identification and simulation of the source code of operation. Platform: |
Size: 1024 |
Author:lsw_hit |
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Description: 最小二乘法在系统实时辨识中应用，对时变系统进行辨识-Least-squares method in the application of real-time identification of time-varying system identification Platform: |
Size: 1024 |
Author:ALPHA |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program Platform: |
Size: 7168 |
Author:jshuska |
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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: |
Size: 34816 |
Author:陈翼男 |
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Description: 在MATLAB运行环境下，基于支持向量机的非线性系统辨识程序！-Run in the MATLAB environment, based on support vector machines for nonlinear system identification procedure! Platform: |
Size: 83968 |
Author:田红军 |
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