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Kalman Filtering and Information Fusion (Hardcover, 1st ed. 2020)
Loot Price: R4,378
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Kalman Filtering and Information Fusion (Hardcover, 1st ed. 2020)
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This book addresses a key technology for digital information
processing: Kalman filtering, which is generally considered to be
one of the greatest discoveries of the 20th century. It introduces
readers to issues concerning various uncertainties in a single
plant, and to corresponding solutions based on adaptive estimation.
Further, it discusses in detail the issues that arise when Kalman
filtering technology is applied in multi-sensor systems and/or
multi-agent systems, especially when various sensors are used in
systems like intelligent robots, autonomous cars, smart homes,
smart buildings, etc., requiring multi-sensor information fusion
techniques. Furthermore, when multiple agents (subsystems) interact
with one another, it produces coupling uncertainties, a challenging
issue that is addressed here with the aid of novel decentralized
adaptive filtering techniques.Overall, the book's goal is to
provide readers with a comprehensive investigation into the
challenging problem of 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.To read this book, only a basic grasp of linear algebra and
probability theory is needed, though experience with least squares,
navigation, robotics, etc. would definitely be a plus.
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