A NEW METHOD FOR THE IDENTIFICATION OF HAMMERSTEIN MODEL

Authors
ALDUWAISH H KARIM MN
Citation
H. Alduwaish et Mn. Karim, A NEW METHOD FOR THE IDENTIFICATION OF HAMMERSTEIN MODEL, Automatica, 33(10), 1997, pp. 1871-1875
Citations number
26
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control","Engineering, Eletrical & Electronic
Journal title
Automatica → ACNP
ISSN journal
00051098
Volume
33
Issue
10
Year of publication
1997
Pages
1871 - 1875
Database
ISI
SICI code
0005-1098(1997)33:10<1871:ANMFTI>2.0.ZU;2-A
Abstract
A new method for the identification of the nonlinear Hammerstein model , consisting of a static nonlinear part in cascade with a linear dynam ic part, is introduced. The static nonlinear part is modeled by a mult ilayer feedforward neural network (MFNN), and the linear part is model ed by an autoregressive moving average (ARMA) model. A recursive algor ithm is developed for estimating the weights of the MFNN and the param eters of ARMA model. Simulation examples are included to illustrate th e performance of the proposed method. (C) 1997 Elsevier Science Ltd.