Comparison of linear identification techniques for an open-channel irrigation system

Author

Elfawal-Mansour, H. ; Georges, D. ; Bornard, G.

Author_Institution

LAG, ENSIEG, Saint Martin d´´Heres, France

Volume

1

fYear

1998

fDate

1-4 Sep 1998

Firstpage

542

Abstract

This paper deals with modeling and identification of a real irrigation system (Bourne-France) on the basis of real time-series. The black box and knowledge based modeling with various identification methods, iterative and non-iterative, are tested on real data. Between these methods, the recursive Kalman filter ensures the tracking of the systems parameters (time varying system with time delay), and the subspace methods (non-iterative) are always convergent, numerically stable and the system orders do not have to be known in advance

Keywords

Kalman filters; agriculture; delay systems; dynamics; identification; natural resources; singular value decomposition; time series; time-varying systems; Kalman filtering; black box; delay systems; identification; irrigation system; knowledge based modeling; open-channel hydraulic systems; singular value decomposition; time varying system; time-series; Delay effects; Eigenvalues and eigenfunctions; Filtering; Irrigation; Iterative methods; Kalman filters; Nonlinear equations; Testing; Time varying systems; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Trieste

Print_ISBN

0-7803-4104-X

Type

conf

DOI

10.1109/CCA.1998.728524

Filename

728524