Title :
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
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;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.728524
