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
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;
Conference_Titel :
Industrial Technology 2000. Proceedings of IEEE International Conference on
Print_ISBN :
0-7803-5812-0
DOI :
10.1109/ICIT.2000.854234
