Description: 系统辨识中，一个很重要的方法是用相关分析法辨识脉冲响应，该程序可以计算出输入和输出序列的互相关函数，以及计算出脉冲响应估计值-system identification, a very important way is to analyze the identification impulse response, the program can calculate the input and output sequence of cross-correlation function, and calculated the estimated value of the impulse response Platform: |
Size: 3756 |
Author:qqiang |
Hits:
Description: 系统辨识中，一个很重要的方法是用相关分析法辨识脉冲响应，该程序可以计算出输入和输出序列的互相关函数，以及计算出脉冲响应估计值-system identification, a very important way is to analyze the identification impulse response, the program can calculate the input and output sequence of cross-correlation function, and calculated the estimated value of the impulse response Platform: |
Size: 3072 |
Author:qqiang |
Hits:
Description: 系统辨识，面积法（面积法一，面积法二），hankel矩阵法，Levy法，脉冲响应法辨识系统-System identification, an area of law (an area of law an area of law 2), hankel matrix method, Levy law, impulse response method Identification System Platform: |
Size: 5120 |
Author:园园 |
Hits:
Description: 基于matlab系统辨识的经典脉冲响应辨识，自己编写，效果不错。-Matlab system identification based on the classic impulse response identification, their preparation, good results. Platform: |
Size: 1024 |
Author:owen |
Hits:
Description: 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. Platform: |
Size: 281600 |
Author:suncat |
Hits:
Description: 系统辨识课上做的利用相关分析法辨识脉冲响应的实验。包括用M序列生成白噪声，计算互相关函数得到脉冲响应估计值等等，比较基础-Experiment about Identifying the pulse response with a method of correlative analysis in my class on system identification. It contains using M-sequence to generate white noise, bu calculating cross-correlation function to get impulse response estimates ect. Platform: |
Size: 146432 |
Author: |
Hits:
Description: M序列脉冲响应辨识，系统辨识，采用5级移位寄存器产生M序列作为输入信号，辨识该系统的脉冲响应-M-sequence impulse response identification, system identification, a 5-stage shift register generates M sequence as the input signal, identify the system impulse response Platform: |
Size: 1024 |
Author:雪中蝶 |
Hits:
Description: 对结构响应信号进行连续复Morlet小波变换，根据小波系数的模极大值提取小波脊线，识别结构的瞬时频率；为降低噪音的影响，采用奇异值分解(SVD)方法进行降噪处理，建立了一种基于连续复小波变换识别时变系统
瞬时频率的方法。用一个具有时变刚度的弹簧质量系统的数值算例验证方法的有效性，随后设计了一个时变拉索
结构试验，分别对索施加线性和正弦变化的拉力，同时测试结构的冲击响应，运用提出的方法成功地识别了索的瞬时频率。数值与试验结果表明，提出的方法能有效地识别时变结构的瞬时频率，且识别方法具有一定的抗噪性。-On the structural response signal continuously Complex Morlet wavelet transform, the wavelet coefficients extracted wavelet modulus maxima ridge line, identify the structure of the instantaneous frequency to reduce the effects of noise, using singular value decomposition (SVD) method for noise reduction, the establishment of A complex wavelet transform based on continuous time-varying systems instantaneous frequency identification method. With a time-varying stiffness spring-mass system numerical example effectiveness of the method, followed by the design of a time-varying cable structural testing, respectively Suoshi Jia linear and sinusoidal variation of tension, while the impulse response of the test structure, the use of the proposed method successfully identified the cable instantaneous frequency. Numerical and experimental results show that the proposed method can effectively identify the structure of time-varying instantaneous frequency, and the identification method has some n Platform: |
Size: 400384 |
Author:张力 |
Hits:
Description: 系统辨识作业，输入信号为M序列，利用互相关函数及脉冲响应法求出系统的传递函数。-Identification of the operating system, the input signal for the M series, the transfer function of the system is obtained using cross-correlation function and impulse response method. Platform: |
Size: 1024 |
Author:HaoQiu |
Hits:
Description: Model-based control strategies like model predictive
control (MPC) require models of process dynamics accurate
enough that the resulting controllers perform adequately in
practice. Often, these models are obtained by fitting convenient
model structures (e.g., linear finite impulse response (FIR) models,
linear pole-zero models, nonlinear Hammerstein or Wiener
models, etc.) to observed input–output data. Real measurement
data records frequently contain “outliers” or “anomalous data
points,” which can badly degrade the results of an otherwise
reasonable empirical model identification procedure. This paper
considers some real datasets containing outliers, examines the
influence of outliers on linear and nonlinear system identification,
and discusses the problems of outlier detection and data cleaning.
Although no single strategy is universally applicable, the Hampel
filter described here is often extremely effective in practice. Platform: |
Size: 119808 |
Author:JTNT |
Hits:
Description: 利用相关分析法辨识系统的脉冲响应并比较离散、递推、矩阵三种算法结果，包括M序列的生成-Impulse Response Identification system using correlation analysis and comparison of discrete, recursion, matrix three algorithms results, including the M sequence generation Platform: |
Size: 1024 |
Author:zhanchi |
Hits:
Description: 在matlab环境中自动识别连通区域的大小,基于分段非线性权重值的Pso算法，有较好的参考价值，Matlab实现界面友好，脉冲响应的相关分析算法并检验，借鉴了主成分分析算法（PCA），对HARQ系统的吞吐量分析，通过虚拟阵元进行DOA估计。- Automatic identification in the matlab environment the size of the connected area, Based on piecewise nonlinear weight value Pso algorithm, There are good reference value, Matlab to achieve user-friendly, Related impulse response analysis algorithm and inspection, It draws on principal component analysis algorithm (PCA), HARQ throughput analysis of the system, Conducted through virtual array DOA estimation. Platform: |
Size: 6144 |
Author:bmisq |
Hits:
Description: 最优状态估计与系统辨识 出版社：西北工业大学出版社 作者：王志贤 本书系统地阐述了最优状态估计与系统辨识的基本概念、基本理论和基本方法。全书共分两篇14章：第一篇为最优状态估计，分别介绍了最优估计的基本概念、线性系统的卡尔曼滤波、最优线性平滑、卡尔曼滤波的稳定性、滤波的发散及其克服方法、非线性滤波。第二篇为系统辨识，分别介绍了系统辨识的一般概念、脉冲响应法和相关函数法、最小二乘类辨识方法、极大似然法和预报误差法、时间序列模型和随机逼近法、多输入多输出性系统辨识、闭环系统辨识。附录给出了学习本课程中用到的矩阵分析等一些数学工具。 -Optimal state estimation and system identification Publisher: Northwestern University Press Author: Wang Zhixian This book describes the basic concepts and optimal state identification system, the basic theory and method of estimation. The book consists of two 14 chapters: The first chapter is the optimal state estimation, introduced the basic concepts of optimal estimation, Kalman filter for linear systems, optimal linear smoothing, divergence stability Kalman filter, and the filter which overcomes method, nonlinear filtering. The second is identification, introduced the general concept of system identification, impulse response and correlation function method, class identification method of least squares, maximum likelihood method and prediction error method, time series models and stochastic approximation method, and more input multi-output system identification, the closed-loop system identification. The appendix gives matrix analysis used in this course and some other mathematical Platform: |
Size: 6449152 |
Author:李赛 |
Hits:
Description: 采用经典辨识——脉冲响应辨识系统的传递函数，文件以函数形式编写主要有3个参数：采样频率、系统阶次、噪声幅值(推荐参数分别为0.1、3、0.1)-Classical identificationThe—— pulse response identification to identify transfer function of the system. The file was written in function form mainly with 3 parameters: the sampling frequency, the order of the system, the noise amplitude (recommended parameters were 0.1, 3, 0.1)
Platform: |
Size: 1024 |
Author:liange312 |
Hits:
Search - impulse response system identification