DocumentCode
2830625
Title
An algorithm for continuous-time state space identification
Author
Johansson, Rolf ; Lindstedt, Gunnar
Author_Institution
Dept. of Autom. Control, Lund Inst. of Technol., Sweden
Volume
1
fYear
1995
fDate
13-15 Dec 1995
Firstpage
721
Abstract
We have developed a system identification algorithm to fit continuous-time state-space models to data. The methodology includes a continuous-time operator translation, permitting an algebraic reformulation and the use of subspace and realization algorithms. The new approach has proved effective in identification and modeling of ultrasonic echo applications
Keywords
Hankel matrices; Markov processes; continuous time systems; echo; eigenvalues and eigenfunctions; identification; state-space methods; ultrasonic reflection; Hankel matrix; Markov processes; continuous-time systems; eigensystems; modeling; state-space models; subspace algorithm; system identification; transfer functions; ultrasonic echo; Differential equations; Kalman filters; Linear regression; Matrix decomposition; Nonlinear filters; Polynomials; Singular value decomposition; State-space methods; System identification; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
0-7803-2685-7
Type
conf
DOI
10.1109/CDC.1995.479063
Filename
479063
Link To Document