DocumentCode
490444
Title
A new technique for identification of MISO Hammerstein model
Author
Boutayeb, M. ; Darouach, M. ; Rafaralahy, H. ; Krzakala, G.
Author_Institution
EARAL CRAN-CNRS UA 821, Route de Romain, 54400 Longway, FRANCE. TEL: 82-24-56-83 FAX: 82-23-93-97
fYear
1993
fDate
2-4 June 1993
Firstpage
1991
Lastpage
1992
Abstract
A recursive method for identfication of nonlinear multi-input single-output Hammerstein model is presented This is developed along the lines of the basic Kalman filter and has the advantage to esimate recursively parameters of each submodel of the nonlinear system without transformation, which is obtained by the use of a new formulation of the input output difference equation. Parameters number to be estimated is minimal and then computational requirements are considerbly reduced. Efficiency of this algorithm is shown by mean of a numerical example.
Keywords
Control design; Delay; Difference equations; Heuristic algorithms; MIMO; Mathematical model; Nonlinear dynamical systems; Nonlinear systems; Recursive estimation; Redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1993
Conference_Location
San Francisco, CA, USA
Print_ISBN
0-7803-0860-3
Type
conf
Filename
4793225
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