Continuous-Time Nonlinear Block-Oriented Dynamic System Identification from Sampled Step and Step-Like Responses

被引:0
|
作者
Figwer, Jaroslaw [1 ]
机构
[1] Silesian Tech Univ, Inst Automat Control, Akad 16, PL-44100 Gliwice, Poland
来源
2018 23RD INTERNATIONAL CONFERENCE ON METHODS & MODELS IN AUTOMATION & ROBOTICS (MMAR) | 2018年
关键词
HAMMERSTEIN SYSTEMS; OPTIMIZATION; MODEL; ALGORITHM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper an approach to continuous-time nonlinear block-oriented dynamic system identification containing unknown time delay is presented. In the presented approach the excitation being a step or step-like signal is generated from D/A converter equipped with zero-order hold filter. Data used for model identification are sampled step or step-like responses. Parameters of the corresponding models are obtained by an optimisation algorithm utilizing ideas of randomized search. The presented discussion is illustrated by simulation experiments devoted to model identification of Wiener, Hammerstein, Hammerstein-Wiener and Wiener-Hammerstein systems.
引用
收藏
页码:77 / 82
页数:6
相关论文
共 50 条
  • [1] Structure Identification of Continuous-Time Block-Oriented Nonlinear Systems in the Frequency Domain
    Shanshiashvili, B.
    Prangishvili, A.
    Tsveraidze, Z.
    IFAC PAPERSONLINE, 2019, 52 (13): : 463 - 468
  • [2] Parameter Identification of Continuous-time Hammerstein System from Step Responses
    Cheng, Ximing
    Hu, Xiaosong
    Sun, Fengchun
    ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 2996 - 3001
  • [3] System identification of the human thermoregulatory system using continuous-time block-oriented predictive modeling
    Rollins, D
    Bhandar, N
    Hulting, S
    CHEMICAL ENGINEERING SCIENCE, 2006, 61 (05) : 1516 - 1527
  • [4] Block-oriented continuous-time modelling for nonlinear systems under sinusoidal inputs
    Zhai, D.
    Rollins Sr., D.K.
    Bhandari, N.
    International Journal of Modelling and Simulation, 2008, 28 (02): : 138 - 146
  • [5] Compact block-oriented continuous-time dynamic modeling for nonlinear systems under sinusoidal input sequences
    Zhai, DM
    Rollins, DK
    Bhandari, N
    PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL, 2004, : 295 - 300
  • [6] Indirect identification of continuous-time delay systems from step responses
    Du, Yan Yi
    Tsai, Jason S. H.
    Patil, Harshal
    Shieh, Leang S.
    Chen, Yuhua
    APPLIED MATHEMATICAL MODELLING, 2011, 35 (02) : 594 - 611
  • [7] Interval variable step-size spline adaptive filter for the identification of nonlinear block-oriented system
    Liangdong Yang
    Jinxin Liu
    Zhibin Zhao
    Ruqiang Yan
    Xuefeng Chen
    Nonlinear Dynamics, 2019, 98 : 1629 - 1643
  • [8] Interval variable step-size spline adaptive filter for the identification of nonlinear block-oriented system
    Yang, Liangdong
    Liu, Jinxin
    Zhao, Zhibin
    Yan, Ruqiang
    Chen, Xuefeng
    NONLINEAR DYNAMICS, 2019, 98 (03) : 1629 - 1643
  • [9] Continuous-time Hammerstein system identification from sampled data
    Greblicki, Wlodzimierz
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (07) : 1195 - 1200
  • [10] Effluents quality prediction by using nonlinear dynamic block-oriented models: a system identification approach
    Abba, S., I
    Abdulkadir, R. A.
    Gaya, M. S.
    Sammen, Saad Sh
    Ghali, Umar
    Nawaila, M. B.
    Oguz, Gozde
    Malik, Anurag
    Al-Ansari, Nadhir
    DESALINATION AND WATER TREATMENT, 2021, 218 : 52 - 62