搜索资源列表
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Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox. LAST UPDATED: 25 Feb. 2002.
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环境下构建一种新的系统辨识仿真工具箱(SIST: System Identification Toolbox)的原理与实现,讨论了在MATLAB 环境下工具箱的数据和算法结构形式,以及利用GUIDE完成图行界面的设计,用MATLAB 与C++混编技术实现物理系统的I/O 接口和系统辨识...
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A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representatio
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很使用的一个系统辨识工具箱，其中包括许多系统辨识经典算法啊。。。希望对大家有用。-Is to use a system identification toolbox, including many system identification algorithms ah classic. . . Hope useful for all of us.
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系统辨识工具箱的参考说明，很有用，虽是英文的，但不难懂-Matlab System Identification Toolbox reference books
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MATLAB环境下的系统辨识仿真工具箱 -MATLAB environment simulation system identification toolbox. . . . . . . . . . . . . . . . . . . . . . . . . . .
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基於 Matlab 系统辨识工具箱的系统建模-Matlab System Identification Toolbox for System Modeling
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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,
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This addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. This
also requires the System Identification Toolbox, as a comparison is made between a nonlinear ANFIS and a linear ARX model.
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ebook of system identification (matlab toolbox)
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详细介绍了MATLAB与控制工程相关的6个基础工具箱：系统辨识工具箱、控
制系统工具箱、鲁棒控制工具箱、模型预测控制工具箱、模糊逻辑工具箱和非线性控制设计模块。同时提供了MATLAB的一些基础知识。-Details related to MATLAB and Control Engineering of the six basic kit: System Identification Toolbox, Control System Toolbox, Robust Control Toolbo
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Descr iption
We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:
- linear regression model
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use system identification toolbox in MATLAB to identify and estimate the model
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MATlab系统辨识工具箱的使用方法（详细）及具体例子，常用-Use of Matlab System Identification Toolbox (detailed) and concrete examples of commonly used
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系统辨识的方法以及matlab实现，详细介绍了matlab 系统辨识工具箱-System identification methods and matlab implementation, detailing the matlab System Identification Toolbox
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：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
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基于时间序列中通过arima和系统辨识工具箱在matlab上进行预测的实例。非周期性，可选择预测步数-Based on time sequence by arima and system identification toolbox in matlab to predict the instance. Aperiodic, can choose steps prediction
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matlab系统辨识工具箱，使用起来十分简单，网上有响应的使用教程。-Matlab system identification toolbox, use rise very simple, there are response to the use of the tutorial.
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Including AHP, factor analysis, regression analysis, cluster analysis, PLS PLS toolbox, Nonlinear discrete system identification.
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系统辨识工具箱，找了很久，亲测可用。matlab没装工具箱的可以下载(system identification toolbox)
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