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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
Reviews
"The book is primarily a research monograph which presents, in a unified fashion, some recent research on robust Kalman filtering. The book is intended for researchers in robust control and filtering theory, advanced postgraduate students, and engineers with an interest in applying the latest techniques of robust Kalman filtering. Robust Kalman filtering extends the Kalman filtering and the extended Kalman filtering to systems that contain uncertain parameters in addition to the usual white Gaussian noise…. Several examples are given, showing the robust Kalman filters outperforming the regular Kalman filter or the extended Kalman filter. Each of the first ten chapters covers a specific topic, usually with a major theorem characterizing the robust filter followed by an example. The final chapter addresses its application to a particular problem." —Zentralblatt Math
Authors and Affiliations
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School of Electrical Engineering Australian Defence Force Academy, University of New South Wales, Canberra, Australia
Ian R. Petersen
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Department of Electrical and Electronic Engineering, University of Western Australia, Nedlands, Australia
Andrey V. Savkin
Bibliographic Information
Book Title: Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Authors: Ian R. Petersen, Andrey V. Savkin
Series Title: Control Engineering
DOI: https://doi.org/10.1007/978-1-4612-1594-3
Publisher: Birkhäuser Boston, MA
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-8176-4089-7Published: 10 November 1999
Softcover ISBN: 978-1-4612-7209-0Published: 06 November 2012
eBook ISBN: 978-1-4612-1594-3Published: 06 December 2012
Series ISSN: 2373-7719
Series E-ISSN: 2373-7727
Edition Number: 1
Number of Pages: X, 207