Industrial Applications of the Kalman Filter: A Review
Промышленные применения фильтра Калмана: обзор
2013-01-01
SCID: 54.1/edraytc8
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Kalman filterdata mergingsignal processingstate and parameter estimationtrajectory estimation
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Abstract (AI)
The Kalman filter (KF) has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 1970s, ranging, without being exhaustive, trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing, and so on. This paper provides a brief overview of the industrial applications and implementation issues of the KF in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends.
Key Findings
1
Future research trends for industrial KF applications are identified and highlighted.
2
Key industrial application areas include trajectory estimation, state and parameter estimation for control or diagnosis, data merging, and signal processing.
3
The Kalman filter has been widely used in industrial electronics since the 1970s across many engineering fields.
4
The paper summarizes implementation issues and relevant reference papers for KF use in six industrial electronics topics.
Research Object
Kalman filter applied in industrial electronics
Research Subject
Industrial applications and implementation issues of the Kalman filter across tasks such as trajectory estimation, state and parameter estimation for control and diagnosis, data fusion, and signal processing, including reference mapping and future research trends
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2013-01-01
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