Identification of Hammerstein-Wiener models

被引：227
|
作者：
Wills, Adrian [1 ]
Schon, Thomas B. [2 ]
Ljung, Lennart [2 ]
Ninness, Brett [1 ]
机构：
[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW 2308, Australia
[2] Linkoping Univ, Div Automat Control, SE-58183 Linkoping, Sweden
来源：
AUTOMATICA | 2013年 / 49卷 / 01期
基金：
瑞典研究理事会; 澳大利亚研究理事会;
关键词：
System identification; Hammerstein; Wiener; Block-oriented models; Nonlinear models; Dynamic systems; Monte Carlo method; Smoothing; Expectation maximization algorithm; Particle methods; Maximum Likelihood; MAXIMUM-LIKELIHOOD-ESTIMATION; NONLINEAR-SYSTEMS;
D O I：
10.1016/j.automatica.2012.09.018
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper develops and illustrates a new maximum-likelihood based method for the identification of Hammerstein-Wiener model structures. A central aspect is that a very general situation is considered wherein multivariable data, non-invertible Hammerstein and Wiener nonlinearities, and colored stochastic disturbances both before and after the Wiener nonlinearity are all catered for. The method developed here addresses the blind Wiener estimation problem as a special case. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：70 / 81
页数：12
相关论文
共 50 条
  • [21] Set-Membership identification of Hammerstein-Wiener systems
    Cerone, Vito
    Piga, Dario
    Regruto, Diego
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 2819 - 2824
  • [22] Recursive identification method for a class of Hammerstein-Wiener systems
    Yu, Feng
    Mao, Zhi-Zhong
    Jia, Ming-Xing
    Yuan, Ping
    Yang, Fei-Sheng
    Zidonghua Xuebao/Acta Automatica Sinica, 2014, 40 (02): : 327 - 335
  • [23] Improved system identification method for Hammerstein-Wiener processes
    Su Whan Sung
    Cheol Ho Je
    Jietae Lee
    Dong Hyun Lee
    Korean Journal of Chemical Engineering, 2008, 25 : 631 - 636
  • [24] ANALYSIS OF EMG-FORCE RELATION USING SYSTEM IDENTIFICATION AND HAMMERSTEIN-WIENER MODELS
    Sebastian, Anish
    Kumar, Parmod
    Schoen, Marco P.
    Urfer, Alex
    Creelman, Jim
    Naidu, D. Subbaram
    PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2010, VOL 1, 2010, : 381 - 388
  • [25] Wideband Wireless Transmitter Identification Based on Hammerstein-Wiener Model
    Sun, Minhong
    Xu, Tiancheng
    Guo, Hongchen
    Zhong, Hua
    JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2018, 21 (02): : 261 - 269
  • [26] Identification of a precision motion stage based on the Hammerstein-Wiener model
    Zhang, Zhu
    Zhang, Delong
    Zheng, Haiyang
    Huang, Tao
    Xie, Yangqiu
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 1637 - 1642
  • [27] Identification Approach of the Hammerstein-Wiener Model Applying Combined Signals
    Zhou, Shibo
    Ding, Zhenyu
    Li, Feng
    2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 938 - 942
  • [28] Frequency Identification of Hammerstein-Wiener Systems with Backlash Input Nonlinearity
    Brouri, Adil
    Kadi, Laila
    Slassi, Smail
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (05) : 2222 - 2232
  • [29] Frequency identification of Hammerstein-Wiener systems with backlash input nonlinearity
    Adil Brouri
    Laila Kadi
    Smail Slassi
    International Journal of Control, Automation and Systems, 2017, 15 : 2222 - 2232
  • [30] Identification of Hammerstein-Wiener system with application to compensation for nonlinear distortion
    Sano, A
    Sun, LM
    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 1521 - 1526
12345