DocumentCode
300800
Title
Identification of linear systems using overparameterized models
Author
Da Costa, P. Marques ; Poinot, T. ; Trigeassou, J.C.
Author_Institution
Lab. d´´Autom. et d´´Inf. Ind., Ecole Superieure d´´Ingenieurs de Poitiers, France
Volume
4
fYear
1995
fDate
21-23 Jun 1995
Firstpage
2913
Abstract
Presents an identification algorithm based on overparameterized models and impulse response moments. Overparameterization permits one to obtain unbiased estimates whatever the stochastic process may be and without knowledge of the system´s model order. Owing to moments, one can get a minimal and equivalent representation of the system
Keywords
filtering theory; identification; least squares approximations; linear systems; reduced order systems; time series; transfer functions; transient response; equivalent representation; identification algorithm; impulse response moments; linear systems; minimal representation; overparameterized models; stochastic process; unbiased estimates; Discrete transforms; Filtering algorithms; H infinity control; Least squares methods; Linear systems; Parametric statistics; Read only memory; Stochastic processes; Stochastic systems; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.532386
Filename
532386
Link To Document