Exponential data weighting in the Kalman-Bucy filter

Brian D.O. Anderson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The use of exponential weighting of data (favoring more recent data) is considered for continuous-time and discrete-time Kalman-Bucy filters. Quantitative consideration is given to matters such as the computation, stability and stationarity of filters designed with data weighting. The problem of divergence or data saturation is explored, and the use of exponential weighting is compared with other techniques for dealing with the problem.

Original languageEnglish
Pages (from-to)217-230
Number of pages14
JournalInformation Sciences
Volume5
Issue numberC
DOIs
Publication statusPublished - 1973
Externally publishedYes

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