DocumentCode
2994118
Title
Identification of stochastic linear dynamic systems
Author
Mehra, Raman
Author_Institution
Wolf Management Services, Palo Alto, California
fYear
1969
fDate
17-19 Nov. 1969
Firstpage
66
Lastpage
66
Abstract
Using a new form of representation, a set of equations has been derived for the maximum likelihood identification of linear dynamic systems. These equations are shown to be directly related to the filtering and smoothing equations for linear dynamic systems. Numerical results are obtained for a fourth order system using Davidon´s Conjugate Gradient Method which also gives the variances of the estimates.
Keywords
Econometrics; Equations; Filtering; Kalman filters; Maximum likelihood estimation; Nonlinear filters; State estimation; State-space methods; Stochastic systems; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Processes (8th) Decision and Control, 1969 IEEE Symposium on
Conference_Location
University Park, PA, USA
Type
conf
DOI
10.1109/SAP.1969.269932
Filename
4044585
Link To Document