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: |
Size: 109568 |
Author:叶梭 |
Hits:
Description: 神经网络的自适用算法，利用神经网络对系统辨识和跟踪。此程序为c语言和matlab混和编程，由c语言实现算法，由matlab来显示图形。-neural network algorithm applied since the use of neural network system identification and tracking. This procedure c mixed language and Matlab programming, C language algorithms from Matlab to display graphics. Platform: |
Size: 5120 |
Author:杨一 |
Hits:
Description: 用神经网络对系统辨识(BP网络)。此程序为c语言和matlab混和编程，由c语言实现算法，由matlab来显示图形。-using neural network system identification (BP). This procedure c mixed language and Matlab programming, C language algorithms from Matlab to display graphics. Platform: |
Size: 7168 |
Author:杨一 |
Hits:
Description: 应用遗传算法与类神经网络于混沌系统之辨识.pdf-application of genetic algorithms and neural networks in the chaotic system of identification. Pdf Platform: |
Size: 303104 |
Author:肖晨光 |
Hits:
Description: labwindows/CVI的虚拟仪器设计(电子版)
本书详细地介绍了应用当前信号分析与处理新技术来设计不同测量功能的虚拟仪器的工作原理和方法。内容包括虚拟仪器设计的方法和步骤，I/O接口设备的软件驱动，LabWindows/CVI与MATLAB语言的接口，以及基于自相关伪随机系统辨识、神经网络、小波变换、模糊理论等技术虚拟仪器设计的方法和技巧。 本书内容新颖丰富、论述简洁，提供了大量典型的实例。本书可作为大专院校教科书，也可作为工程技术人员和科技工作者学习设计虚拟仪器的自学用书。-labwindows/CVI virtual instrument design (electronic version) the book details on the application current signal analysis and processing technology to design new measurement functions of different virtual machines, the principle and method. Including virtual instrument design methods and steps, I/O interface of the software-driven equipment, LabWindows/CVI and MATLAB language interface, Based on the correlation of pseudo-random system identification, neural network, wavelet transform, Fuzzy theory virtual instrument technology design methods and techniques. The contents are rich novel, concise exposition, a large number of typical examples. This book tertiary textbooks can also be used as engineering and technical workers should study the design of virtual instrument self-learning bo Platform: |
Size: 7969792 |
Author:李新平 |
Hits:
Description: BP神经网络控制系统辨识的m文件原程序，经过离线训练可以仿真出采样点的变化曲线-BP neural network control system identification procedures m the original document, after off-line simulation training can change the sampling point curve Platform: |
Size: 7168 |
Author:李文 |
Hits:
Description: 模糊神经网络解耦MATLAB程序，系统辨识中有用，希望对大家有帮助-Fuzzy Neural Network Decoupling MATLAB procedures, system identification useful, and they hope to help everyone Platform: |
Size: 3072 |
Author:赵翠芳 |
Hits:
Description: rbf神经网络应用于系统辨识,比BP网络具有较好的泛化能力,学习速度快,辨识效果好!-rbf neural network applied to system identification, than the BP network has better generalization ability, learning speed and better recognition! Platform: |
Size: 1024 |
Author:liyan |
Hits:
Description: BP神经网络已广泛应用于非线性建摸、函数逼近、系统辨识等方面，但对实际问题，其模型结构需由
实验确定，无规律可寻。简要介绍了利用 Matlab语言进行 BP网络建立、训练、仿真的方法及注意事项。 -BP neural network has been widely used in nonlinear modeling, function approximation, system identification, etc., but the practical problems, the model structure required by the experiment, if there is no law to be found. Briefly introduce the use of Matlab language BP networks, training, simulation methods and Cautions. Platform: |
Size: 93184 |
Author:覃亮朋 |
Hits:
Description: 《MATLAB控制系统仿真与实例详解》一书的光盘源码。图书简介：本书详细地讲解了MATLAB 7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。本书内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。
-" MATLAB Control System Simulation and explain examples of" one-source book on CD-ROM. Book Description: This book explain in detail the function of the MATLAB 7.x and related operations and MATLAB in the control system simulation applications. The book includes basic control system simulation, MATLAB programming language basic, basic control system theory, Simulink interactive simulation environment, control system modeling, linear control system analysis and simulation, PID control system design and simulation, optimal control system design, robust control system design, neural network system design and MATLAB implementation, fuzzy control system design and system identification. Platform: |
Size: 41984 |
Author:时光 |
Hits:
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 |
Hits:
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 |
Hits:
Description: 《机器人控制系统的设计与MATLAB仿真》一书所有的matlab仿真程序。本书系统地介绍了机器人控制的几种先进设计方法，是作者多年来从事机器人控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的最新成果。全书以机器人为对象，共分10章，包括先进PID控制、神经网络自适应控制、模糊自适应控制、迭代学习控制、反演控制、滑膜控制、自适应鲁棒控制、系统辨识和路径规划。-" Robot Control System Design and MATLAB simulation," a book all the matlab simulation program. This book introduces several advanced robot control design methods, is the author of the robot control system for many years engaged in teaching and research work of the crystal, while domestic and foreign counterparts into the latest achievements in recent years. Book to the robot as an object, divided into 10 chapters, including advanced PID control, neural network adaptive control, fuzzy adaptive control, iterative learning control, inversion of control, synovial control, adaptive robust control, system identification and path planning. Platform: |
Size: 861184 |
Author:Ben |
Hits:
Description: 基于最小二乘法RBF神经网络MATLAB程序，采用最小二乘法及RBF神经网络完成系统辨识(RBF neural network MATLAB program based on least square method, using least square method and RBF neural network to complete system identification) Platform: |
Size: 1024 |
Author:liyuqi61148
|
Hits:
Description: 对于神经网络系统辨识，采用MATLAB进行仿真验证(For neural network system identification, MATLAB is used for simulation verification) Platform: |
Size: 335872 |
Author:图腾 |
Hits:
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 |
Hits:
Search - system identification matlab neural