DocumentCode
2191150
Title
Identification of the Hammerstein model in the presence of bounded disturbances
Author
Boutayeb, M. ; Darouach, M.
Author_Institution
Univ. of Henri Poincare, Cosnes et Romain, France
Volume
1
fYear
2000
fDate
19-22 Jan. 2000
Firstpage
590
Abstract
In this paper we propose a simple and useful method for recursive identification of multi-input single-output (MISO) Hammerstein model in the presence of unknown but bounded disturbances. The proposed algorithm is performed so that the estimated parameters are consistent with the measurements and the noise constraints. Sufficient conditions for asymptotic convergence are established by the aid of the Lyapunov approach.
Keywords
nonlinear systems; recursive estimation; Hammerstein model identification; Lyapunov approach; bounded disturbances; estimated parameters; linearisation errors; multi-input single-output Hammerstein model; noise constraints; nonlinear systems; recursive identification; unknown disturbances; Convergence; Electronic mail; Noise measurement; Parameter estimation; Performance evaluation; Recursive estimation; Signal processing algorithms; Stochastic resonance; Sufficient conditions; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology 2000. Proceedings of IEEE International Conference on
Print_ISBN
0-7803-5812-0
Type
conf
DOI
10.1109/ICIT.2000.854234
Filename
854234
Link To Document