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This book presents a thorough discussion of the mathematical theory of Kalman filtering. The filtering equations are derived in a series of elementary steps enabling the optimality of the process to be understood. It provides a comprehensive treatment of various major topics in Kalman-filtering theory, including uncorrelated and correlated noise, colored noise, steady-state theory, nonlinear systems, system identification, numerical algorithms, and real-time applications. A series of problems for the student, together with a complete set of solutions, are also included. The style of the book is informal, and the mathematics elementary but rigorous, making it accessible to all those with a minimal knowledge of linear algebra and systems theory.
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Previews available in: English
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Mathematical physics, Physics, Control theoryShowing 1 featured edition. View all 1 editions?
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1
Kalman Filtering with Real-Time Applications
1987, Springer Berlin Heidelberg
electronic resource /
in English
3662025108 9783662025109
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March 1, 2022 | Edited by ImportBot | import existing book |
July 4, 2019 | Created by MARC Bot | Imported from Internet Archive item record. |