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State estimation Kalman filter using optical processing: noise statistics known

✍ Scribed by Jackson, James ;Casasent, David


Book ID
115332020
Publisher
The Optical Society
Year
1984
Tongue
English
Weight
798 KB
Volume
23
Category
Article
ISSN
1559-128X

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## Abstract The successful application of model‐based control depends on the information about the states of the dynamic system. State‐estimation methods, like extended Kalman filters (EKF), are useful for obtaining reliable estimates of the states from a limited number of measurements. They also c