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Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Data fusion in estimation problems
Typ:
Conference paper
Authors:
Proceedings name:
Proceedings of International Carpathian Control Conference ICCC'2009
Serie:
Zakopane, Poland
Year:
2009
URL (www page):
attachment1:
clanek_ICCC09_JA.doc [file]
attachment2:
prezentace_ICCC09_JA.pdf [file]
Anotation:
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.