DocumentCode
801252
Title
A note on the estimation of state variables and unknown parameters of a nonlinear system
Author
Soeda, Takeshi ; Yoshimura, Tetsuzo
Author_Institution
Tokushima University, Tokushima, Japan
Volume
14
Issue
5
fYear
1969
fDate
10/1/1969 12:00:00 AM
Firstpage
585
Lastpage
587
Abstract
The problem of estimating state variables and unknown parameters of a nonlinear system from noisy measurements is presented. The estimate to maximize the a posteriori probability density function of state variables and unknown parameters conditioned upon noisy measurements is approximately computed by using the recursive and the corrective formulas. The result for a simple system is presented in which the estimates for the linearized recursive method and the proposed one are compared.
Keywords
Nonlinear systems; Parameter estimation; State estimation; maximum-likelihood (ML) estimation; Frequency estimation; Gaussian noise; Linear systems; Nonlinear systems; Probability density function; Recursive estimation; Stability; State estimation; Stochastic processes; Stochastic systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1969.1099268
Filename
1099268
Link To Document