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Sensor Placement in Optimal Filtering and Smoothing Problems
Ami Arbel
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Corresponding author for this work
Department of Industrial Engineering
Research output
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Contribution to journal
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Article
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peer-review
21
Scopus citations
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Dive into the research topics of 'Sensor Placement in Optimal Filtering and Smoothing Problems'. Together they form a unique fingerprint.
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Keyphrases
Smoothing Problem
100%
Optimal Filtering Problem
100%
Sensor Placement
100%
Optimal Smoothing
100%
Gradient Matrix
66%
Optimal Sensor Placement
66%
Filtering Problems
33%
Numerical Examples
33%
Performance Measures
33%
Estimation Problem
33%
Indirect Measurement
33%
Design Procedure
33%
Covariance Matrix
33%
Individual Change
33%
Matrix Equation
33%
Sensor Location
33%
Information Matrix
33%
Observability Matrix
33%
Mathematics
Smoothing Problem
100%
Filtering Problem
100%
Matrix (Mathematics)
66%
Numerical Example
33%
Covariance Matrix
33%
Matrix Equation
33%
Information Matrix
33%
Engineering
Filtration
100%
Location Sensor
100%
Numerical Example
33%
Observability
33%
Measures of Performance
33%
Design Procedure
33%
Matrix Equation
33%
Covariance Matrix
33%