Skip to content

Detail of publication

Citation

Ajgl Jiří and Šimandl Miroslav : Data Fusion in Estimation Problems . Proceedings of the 10th International Carpathian Control Conference, p. 261-264, Faculty of Mechanical Engineering and Robotics, AGH - University of Science and Technology, Zakopane, Polsko, 2009.

Abstract

The paper deals with the estimation problems in the lowest data fusion level. The goal of the estimation within this level is a state estimate of a stochastic dynamic system using different measurement data sets. In this paper, the stress is laid on the Millman?s formula which usage represents an underlying principle in various fusion and estimation problems, particulary in the smoothing and filtering problems.

Detail of publication

Title: Data Fusion in Estimation Problems
Author: Ajgl Jiří ; Šimandl Miroslav
Language: English
Year: 2009
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: Proceedings of the 10th International Carpathian Control Conference
Page: 261 - 264
ISBN: 8389772-51-5
Publisher: Faculty of Mechanical Engineering and Robotics, AGH - University of Science and Technology
Address: Zakopane, Polsko
Date: 27 May 2009
2011-03-15 16:21:43 / 2011-03-15 16:21:43 / 1

Keywords

data fusion, state estimation, stochastic system, Millman?s formula

BibTeX

@INPROCEEDINGS{AjglJiri_2009_DataFusionin,
 author = {Ajgl Ji\v{r}\'{i} and \v{S}imandl Miroslav},
 title = {Data Fusion in Estimation Problems},
 year = {2009},
 publisher = {Faculty of Mechanical Engineering and Robotics, AGH - University of Science and Technology},
 journal = {Proceedings of the 10th International Carpathian Control Conference},
 address = {Zakopane, Polsko},
 pages = {261-264},
 ISBN = {8389772-51-5},
 url = {http://www.kky.zcu.cz/en/publications/AjglJiri_2009_DataFusionin},
}