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E-book
Advanced Kalman Filtering, Least-Squares and Modeling: A Practical HandbookISBN: 978-1-118-00316-9
E-book
640 pages
March 2011
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Other Available Formats: Hardcover
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Discusses model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions.
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Presents methods for deciding on the "best" model
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Presents little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters
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Discusses implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared.
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Provides a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering
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