Recursive identification method for MISO Wiener-Hammerstein model

Author

Boutayeb, M. ; Darouach, M.

Author_Institution

Nancy I Univ., France

Volume

40

Issue

2

fYear

1995

fDate

2/1/1995 12:00:00 AM

Firstpage

287

Lastpage

291

Abstract

A simple technique for recursive identification of the Wiener-Hammerstein model with extension to the multi-input single-output (MISO) case is presented. We use a new transformation of the input-output difference equation where parameters to be estimated are those of each subsystem of the initial and unique realization. After that, a weighted extended least squares method is employed to estimate recursively and separately parameters of the linear subsystems and the static nonlinear element. The convergence analysis of the proposed procedure is also studied. Finally, a numerical example is provided to show the efficiency of the algorithm

Keywords

convergence of numerical methods; difference equations; least squares approximations; nonlinear systems; parameter estimation; Wiener-Hammerstein model; convergence; input-output difference equation; linear subsystems; multi-input single-output system; parameter estimation; recursive identification; static nonlinear element; weighted extended least squares method; Control design; Convergence; Difference equations; Large-scale systems; Least squares approximation; Linear systems; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Recursive estimation;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.341794

Filename

341794