DocumentCode :
3389224
Title :
Modeling derived from Bayesian filtering: Analysis of estimation process
Author :
Pozna, Claudiu ; Precup, Radu-Emil
Author_Institution :
University Transilvania of Brasov, Department of Product Design and Robotics, Bd. Eroilor 28, 500036 Brasov, Romania
fYear :
2009
fDate :
16-18 April 2009
Firstpage :
73
Lastpage :
78
Abstract :
This paper treats a special topic of Bayesian filteringbased modeling concerning the analysis of the estimation process. The analysis involves the graphical representation of the estimation process. New concepts like the uncertainty range and the convergence point are defined from the graphical visualization of the estimation process. The paper structure consists of the following parts: an introduction where the principles of modeling are presented, the description of the analysis, two cases studies with simulations, and conclusions. Romania
Keywords :
Bayesian methods; Convergence; Design automation; Electronic mail; Filtering; Informatics; Predictive models; Product design; Robotics and automation; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems, 2009. INES 2009. International Conference on
Conference_Location :
Barbados
Print_ISBN :
978-1-4244-4111-2
Electronic_ISBN :
978-1-4244-4113-6
Type :
conf
DOI :
10.1109/INES.2009.4924740
Filename :
4924740
Link To Document :
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