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1下载：
【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M
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FIR_A=[1 1 2]
FIR_B=[2 1 1]
function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square)
[w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave)
LMS filter to solve the system identification problem represented below:
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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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这是一个用matlab编写的，基于CAMC，pid神经网络的非线性系统识别程序，能够很好的识别非线性系统-Based on CAMC/PID Nonlinear System Identification
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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!
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generating time series data for system identification projects.
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adaptive filter, algorithm, for estimation, channel equalization, system identification-adaptive filter, algorithm, for estimation, channel equalization, system identification...........
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最小均方算法是一种自适应滤波算法，这里的Matlab程序用于根据LMS最新均方识别一个线性噪声系统-LMS algorithm is an adaptive filter algorithm, where the Matlab program for the latest according to the mean square LMS noise system identification of a linear
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this program demonstrates the use of the LMS algorithm in system identification
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应用最小二乘法对二阶系统进行辨识，得到相关参数-Application of least squares, second order system identification, are relevant parameters
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system identification with least squares
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system identification with regularized least squares
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system identification with OLS input selection
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RLS system identification + regularization
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system identification and DMC control of a debutanizer plant
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对具有随机噪声的二阶系统的模型辨识及其被辨识系统的辨识结果-Second order with random noise on the system model and its identification system identification results are
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运用相关分析法来进行系统辨识，采用的是M序列输入信号。-Carried out using correlation analysis, system identification, using the M sequence input signal.
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有关系统辨识的课件以及相关辨识方法的matlab程序，很实用的。-The system identification of courseware and related identification methods matlab program, very useful.
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系统辨识实验解答，利用相关分析法辨识脉冲响应，包括题目、M文件程序以及完整的实验报告。-System identification experiments to answer, using correlation analysis, identification of impulse response, including the subject, M documentation procedures, and complete lab report.
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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.
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