Kalman filtering : with real-time applications /

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 theo...

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Bibliographic Details
Main Author: Chui, C. K.
Corporate Author: SpringerLink (Online service)
Other Authors: Chen, G. (Guanrong)
Format: eBook
Language:English
Published: Berlin ; New York : Springer-Verlag, [1991]
Edition:2nd ed.
Series:Springer series in information sciences ; 17.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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, systems 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. In this second edition, in addition to some minor corrections and up-dating, the section on real-time system identification has been expanded and a brief introduction to wavelet analysis included.
Item Description:Electronic resource.
Physical Description:1 online resource (xvi, 195 pages) : illustrations.
Format:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Bibliography:Includes bibliographical references (pages 158-164) and index.
ISBN:9783662026663 (electronic bk.)
366202666X (electronic bk.)