Can I read Kalman Filtering and Information Fusion on EtoBox?

Kalman Filtering and Information Fusion by Hongbin Ma, Liping Yan, Yuanqing Xia, Mengyin Fu is a nonfiction available to read on EtoBox.

What is Kalman Filtering and Information Fusion about?

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

Who reads Kalman Filtering and Information Fusion?

Author

Hongbin Ma, Liping Yan, Yuanqing Xia, Mengyin Fu

Publisher

Springer Singapore : Imprint: Springer

Published

2020

Language

EN

ISBN

9789811508073

Category

nonfiction

Subjects

Engineering, Mathematics, Science