DocumentCode
1847245
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
Volume
1
fYear
1999
fDate
1999
Firstpage
598
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location
Phoenix, AZ
ISSN
0191-2216
Print_ISBN
0-7803-5250-5
Type
conf
DOI
10.1109/CDC.1999.832849
Filename
832849
Link To Document