Overview
""Kalman Filtering with Real-Time Applications"" presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge.
Full Product Details
Author: Charles K. Chui ,
Guanrong Chen
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 4th ed. 2009
Dimensions:
Width: 15.50cm
, Height: 1.40cm
, Length: 23.50cm
Weight: 1.150kg
ISBN: 9783540878483
ISBN 10: 3540878483
Pages: 230
Publication Date: 01 December 2008
Audience:
Professional and scholarly
,
Professional & Vocational
Replaced By: 9783319476100
Format: Hardback
Publisher's Status: Out of Print
Availability: Out of print, replaced by POD
We will order this item for you from a manufatured on demand supplier.
Reviews
From the reviews: <p>a oeTo summarize, the authors have succeeded in bringing together the mathematical theory and the needs of practitioners. The newly added chapters, in particular the one on wavelets, give the book a proper finish. For a book of this size, it leaves little to be desired. It presents a wealth of details while at the same time avoiding unnecessary abstraction.a (Andreas Ruppin, Berlin, Germany (SSN Stat. Software News, 2000, 34,3-4)
From the reviews: To summarize, the authors have succeeded in bringing together the mathematical theory and the needs of practitioners. The newly added chapters, in particular the one on wavelets, give the book a proper finish. For a book of this size, it leaves little to be desired. It presents a wealth of details while at the same time avoiding unnecessary abstraction. (Andreas Ruppin, Berlin, Germany (SSN Stat. Software News, 2000, 34,3-4) A rigorous and concise introduction to Kalman filtering is presented in this well-written book. It is suitable for graduate studies, as well as refresher courses and self-study. ! One of the strong features of the book is that Kalman filtering is presented from a few different viewpoints. ! The many end-of-chapters exercises--and the section at the end of the book with solutions and hints to several of them--are another strong feature of the book. (Vladimir Botchev, ACM Computing Reviews, July, 2009)
