DocumentCode
2750493
Title
A new Bayesian estimation approach for continuous-time systems
Author
Hamidi-Hashemi, H.
Author_Institution
Dept. of Electr. Eng., California State Univ., Fullerton, CA
Volume
2
fYear
1994
fDate
3-5 Aug 1994
Firstpage
987
Abstract
In this paper, a new Bayesian estimation method is introduced. This new method provides estimation for the state variable through a locally correlated process. It utilizes both range and smoothing parameters. Therefore, it has the flexibility of the nonparametric approach as well as the adaptability of the Bayesian estimation. In addition, its convergence and some of its properties are discussed
Keywords
Bayes methods; continuous time filters; continuous time systems; convergence; linear network analysis; state estimation; Bayesian estimation method; active filters; continuous-time systems; convergence; state variable estimation; Bandwidth; Bayesian methods; Convergence; Covariance matrix; Equations; Kernel; Polynomials; Smoothing methods; Spline; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location
Lafayette, LA
Print_ISBN
0-7803-2428-5
Type
conf
DOI
10.1109/MWSCAS.1994.518977
Filename
518977
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