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Approximate Kalman Filtering

Language EnglishEnglish
Book Hardback
Book Approximate Kalman Filtering Chen Guan Rong
Libristo code: 05064400
Publishers World Scientific Publishing Co Pte Ltd, August 1993
Kalman filtering algorithm gives optimal (linear, unbiased and minimum error-variance) estimates of... Full description
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Kalman filtering algorithm gives optimal (linear, unbiased and minimum error-variance) estimates of the unknown state vectors of a linear dynamic-observation system, under the regular conditions such as perfect data information; complete noise statistics; exact linear modelling; ideal will-conditioned matrices in computation and strictly centralized filtering. In practice, however, one or more of the aforementioned conditions may not be satisfied, so that the standard Kalman filtering algorithm cannot be directly used, and hence "approximate Kalman filtering" becomes necessary. In the last decade, a great deal of attention has been focused on modifying and/or extending the standard Kalman filtering technique to handle such irregular cases. This book is a collection of several survey articles summarizing recent contributions to the field, along the line of approximate Kalman filtering with emphasis on its practical aspects.

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About the book

Full name Approximate Kalman Filtering
Language English
Binding Book - Hardback
Date of issue 1993
Number of pages 240
EAN 9789810213596
ISBN 981021359X
Libristo code 05064400
Weight 1500
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