Title :
Identification of Wiener models with process noise
Author :
Chou, C.T. ; Verhaegen, M.
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
Abstract :
Considers the identification of Wiener models whose LTI block includes a process noise contribution. We propose a three-step identification algorithm to solve this problem. The identification algorithm is based on a cross-correlation method and subspace identification
Keywords :
Hankel matrices; discrete time systems; identification; nonlinear systems; LTI block; Wiener models; cross-correlation method; process noise; subspace identification; three-step identification algorithm; Additive noise; Algorithm design and analysis; Kalman filters; Linearity; Noise measurement; Nonlinear equations; Physics; Space technology; State-space methods; Technological innovation;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.832849
