Adaptive regulator for Hammerstein and Wiener systems with noisy observations

被引:11
|
作者
Chen, Han-Fu [1 ]
机构
[1] Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, AMSS, Beijing 100080, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive regulation; expanding truncations; Hammerstein system; stochastic approximation; Wiener system;
D O I
10.1109/TAC.2007.894536
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For Hammerstein and Wiener systems observed with additive noises the adaptive regulation control is produced by a truncated stochastic approximation (SA) algorithm with truncation regions expanding with a prescribed rate. It is proved that the stochastic adaptive control given in this note is optimal in the sense that it minimizes the long run average of regulation errors a.s.
引用
收藏
页码:703 / 709
页数:7
相关论文
共 50 条
  • [31] A fractional approach to identify Wiener-Hammerstein systems
    Vanbeylen, Laurent
    AUTOMATICA, 2014, 50 (03) : 903 - 909
  • [32] Subspace intersection identification of Hammerstein-Wiener systems
    Goethals, Ivan
    Pelckmans, Kristiaan
    Hoegaerts, Luc
    Suykens, Johan
    De Moor, Bart
    2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8, 2005, : 7108 - 7113
  • [33] Parametric identification of parallel Wiener-Hammerstein systems
    Schoukens, Maarten
    Marconato, Anna
    Pintelon, Rik
    Vandersteen, Gerd
    Rolain, Yves
    AUTOMATICA, 2015, 51 : 111 - 122
  • [34] Controllability for a class of simple Wiener-Hammerstein systems
    Nesic, D
    SYSTEMS & CONTROL LETTERS, 1999, 36 (01) : 51 - 59
  • [35] Optimal PID tuning for Wiener/Hammerstein nonlinear systems
    Keviczky, L
    Bányász, C
    IECON'01: 27TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, 2001, : 746 - 751
  • [36] IDENTIFICATION AND COMPENSATION OF WIENER-HAMMERSTEIN SYSTEMS WITH FEEDBACK
    Bolstad, Andrew
    Miller, Benjamin A.
    Goodman, Joel
    Vian, James
    Kalyanam, Janani
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 4056 - 4059
  • [37] Identification of nonlinear Wiener-Hammerstein systems by a novel adaptive algorithm based on cost function framework
    Li, Linwei
    Ren, Xuemei
    ISA TRANSACTIONS, 2018, 80 : 146 - 159
  • [38] Adaptive Wiener filtering of noisy images and image sequences
    Jin, F
    Fieguth, P
    Winger, L
    Jernigan, E
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS, 2003, : 349 - 352
  • [39] A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data
    Wang, Ziyun
    Wang, Yan
    Ji, Zhicheng
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (04): : 1937 - 1944
  • [40] Nonparametric models for Hammerstein-Wiener and Wiener-Hammerstein system identification
    Risuleo, Riccardo S.
    Hjalmarsson, Hakan
    IFAC PAPERSONLINE, 2020, 53 (02): : 407 - 412