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Kalman Filtering and Information Fusion
ISBN-13:
9789811508066
Veröffentl:
2019
Seiten:
291
Autor:
Hongbin Ma
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
Overall, the book's goal is to provide readers with a comprehensive investigation into the challenging problemof making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.
Preface.- Part I Kalman Filtering: Preliminaries.- Part II Kalman Filtering for Uncertain Systems.- Part III Kalman Filtering for Multi-Sensor Systems.- Part IV Kalman Filtering for Multi-Agent Systems.
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