Modeling derived from Bayesian filtering: analysis of estimation process

Authors:
Claudiu Pozna;Radu-Emil Precup
Affiliations:
Department of Product Design and Robotics, University Transilvania of Brasov, Brasov, Romania;Department of Automation and Applied Informatics, "Politehnica" University of Timisoara, Timisoara, Romania
Venue:
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
Year:
2009

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Abstract

This paper treats a special topic of Bayesian filtering-based 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.