DocumentCode
821940
Title
Regions of constrained maximum likelihood parameter identifiability
Author
Lee, Chio-hsiao ; Herget, Charles J.
Author_Institution
Iowa State University, Ames, IA, USA
Volume
21
Issue
4
fYear
1976
fDate
8/1/1976 12:00:00 AM
Firstpage
556
Lastpage
560
Abstract
This short paper considers the parameter identification problem of general discrete-time, nonlinear, multiple input-multiple output dynamic systems with Gaussian, white distributed measurement errors. Knowledge of the system parameterization is assumed to be known. Regions of constrained maximum likelihood (CML) parameter identifiability are established. A computation procedure employing interval arithmetic is proposed for finding explicit regions of parameter identifiability for the case of linear systems.
Keywords
Nonlinear systems, stochastic discrete-time; Parameter identification; maximum-likelihood (ML) estimation; Electrons; Feedback; Linear systems; Matrix decomposition; Measurement errors; Nonlinear dynamical systems; Polynomials; Stability; Testing; Transfer functions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1976.1101287
Filename
1101287
Link To Document