ON THE SERIES EXPANSION APPROACH TO THE IDENTIFICATION OF HAMMERSTEIN SYSTEMS

被引:85
|
作者
PAWLAK, M
机构
[1] Department of Electrical Engineering, University of Manitoba, Winnipeg
关键词
D O I
10.1109/9.86954
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 note a polynomial identification algorithm for recovering a nonlinearity in the Hammerstein system is proposed. The estimate employs the Legendre orthogonal system with adaptively selected number of terms. The global consistency along with rates of convergence are established. No assumptions concerning continuity of the nonlinearity or its functional form are made. A data-driven method using the cross-validation technique for selecting the number of terms in the estimate is presented.
引用
收藏
页码:763 / 767
页数:5
相关论文
共 50 条
  • [41] Metaheuristic vs adaptive approach in discrete-time Hammerstein systems identification
    Cornoiu, Mihai
    Popescu, Dumitru
    Borne, Pierre
    Stefanoiu, Dan
    19TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS 2013), 2013, : 435 - 440
  • [42] Identification of nonlinear systems by Hermite series approach
    Krzyzak, A
    Sasiadek, JZ
    Kégl, B
    PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 2143 - 2144
  • [43] FOURIER EXPANSION OF HAMMERSTEIN MODELS FOR NONLINEAR ACOUSTIC SYSTEM IDENTIFICATION
    Malik, Sarmad
    Enzner, Gerald
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 85 - 88
  • [44] A novel approach for identification of cascade of Hammerstein model
    C. M. Cheng
    Z. K. Peng
    W. M. Zhang
    G. Meng
    Nonlinear Dynamics, 2016, 86 : 513 - 522
  • [45] A novel approach for identification of cascade of Hammerstein model
    Cheng, C. M.
    Peng, Z. K.
    Zhang, W. M.
    Meng, G.
    NONLINEAR DYNAMICS, 2016, 86 (01) : 513 - 522
  • [46] Blind maximum likelihood identification of Hammerstein systems
    Vanbeylen, Laurent
    Pintelon, Rik
    Schoukens, Johan
    AUTOMATICA, 2008, 44 (12) : 3139 - 3146
  • [47] Continuous time Hammerstein systems identification by distributions
    Marin, Constantin
    Finca, Virginia
    Zglimbea, Radu
    ACMOS '08: PROCEEDINGS OF THE 10TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL, MODELLING AND SIMULATION, 2008, : 282 - +
  • [48] Identification of Hammerstein systems with piecewise nonlinearities with memory
    Miyashita, Naoko
    Yamakita, Masaki
    PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14, 2007, : 454 - 459
  • [49] Recursive Subspace Identification Method for Hammerstein Systems
    Chen Xi
    Fang Haitao
    PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 6197 - 6202
  • [50] On model complexity control in identification of Hammerstein systems
    Pelckmans, K.
    Goethals, I.
    Suykens, J. A. K.
    De Moor, B.
    2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8, 2005, : 1203 - 1208