Parameter identification of multi-input, single-output systems based on FIR models and least squares principle

被引：29

作者：

Ding, Jie ^{[1
]}

Ding, Feng ^{[1
]}

Zhang, Shi ^{[2
]}

机构：

[1] So Yangtze Univ, Jiangnan Univ, Control Sci & Engn Res Ctr, Wuxi 214122, Peoples R China

[2] Nanjing Univ Technol, Coll Automat, Nanjing 210009, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2008年 / 197卷 / 01期

基金：

中国国家自然科学基金;

关键词：

system identification; parameter estimation; least squares; structure determination; multivariable systems;

D O I：

10.1016/j.amc.2007.07.076

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

By means of auxiliary models - finite impulse response (FIR) models, this paper develops an identification algorithm for multi-input, single-output stochastic systems. The basic idea is to estimate the FIR model parameters of each fictitious subsystem (submodel) with the FIR model orders increasing, and to use auxiliary models to predict/estimate the outputs of the submodels, and further to use the Pade approximation method to produce the parameter estimates of submodels. Some simulation results are given. (C) 2007 Elsevier Inc. All rights reserved.

引用

下载

页码：297 / 305

页数：9

共 50 条

[1] Recursive least squares identification for multirate multi-input single-output systems
Han, Lili
Sheng, Jie
Ding, Feng
Shi, Yang
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, : 5604 - +
[2] The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises
Shi, Zhenwei
Yang, Haodong
Dai, Mei
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (07): : 4753 - 4783
[3] Parameter conditions and least squares identification of single-input single-output convex fuzzy system
Kim, Tae-Wook
Park, Sang Y.
Lee, Jin S.
PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, 2007, : 565 - +
[4] Data Filtering Based Recursive and Iterative Least Squares Algorithms for Parameter Estimation of Multi-Input Output Systems
Ding, Jiling
ALGORITHMS, 2016, 9 (03):
[5] Recursive Least Squares Algorithm for Parameter Identification of Multi-input Output-error Systems Using the Data Ffiltering
Ding, Jiling
PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 2620 - 2625
[6] Blind deconvolution of multi-input single-output systems with binary sources
Diamantaras, Konstantinos I.
Papadimitriou, Theophilos
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (10) : 3720 - 3731
[7] Blind deconvolution of multi-input single-output systems with binary sources
Diamantaras, KI
Papadimitriou, T
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 549 - 552
[8] Auxiliary model identification method for multirate multi-input systems based on least squares
Han, Lili
Sheng, Jie
Ding, Feng
Shi, Yang
MATHEMATICAL AND COMPUTER MODELLING, 2009, 50 (7-8) : 1100 - 1106
[9] Adaptive Output Feedback Dynamic Surface Control of Multi-Input Single-Output Systems
Mao, Jun
Zhang, Tian-Ping
Shen, Qi-Kun
2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 3936 - 3941
[10] Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique
Qianyan Shen
Feng Ding
Circuits, Systems, and Signal Processing, 2016, 35 : 3745 - 3758

← 1 2 3 4 5 →