Web projektu DAR

Research Centre
Data - Algorithms - Decision Making

Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Survey of estimate fusion approaches

Typ:

Conference paper

Authors:

Ajgl J., Šimandl M.

Proceedings name:

Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics

Serie:

Funchal, Madeira - Portugal

Year:

2010

Pages:

191-196

Contact:

prof. Ing. Miroslav Šimandl, CSc. (FAV Západočeská univerzita, katedra kybernetiky)

Keywords:

dynamic systems, state estimation, optimal estimation

URL (www page):

http://www.icinco.org/

attachment1:

clanek_ICINCO10_JA.pdf [file]

attachment2:

poster_ICINCO10_JA.pdf [file]

Anotation:

The paper deals with fusion of state estimates of stochastic dynamic systems. The goal of the contribution is to present main approaches to the estimate fusion which were developed during the last four decades. The hierarchical and decentralised estimation are presented and main special cases are discussed. Namely the following approaches, the distributed Kalman filter, maximum likelihood, channel filters, and the information measure, are introduced. The approaches are illustrated in numerical examples.