Kalman Filtering and Information Fusion is popular PDF and ePub book, written by Hongbin Ma in 2019-11-27, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Kalman Filtering and Information Fusion can be Read Online from any device for your convenience.
Kalman Filtering and Information Fusion Book PDF Summary
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.
Detail Book of Kalman Filtering and Information Fusion PDF
- Author : Hongbin Ma
- Release : 27 November 2019
- Publisher : Springer Nature
- ISBN : 9789811508066
- Genre : Technology & Engineering
- Total Page : 295 pages
- Language : English
- PDF File Size : 15,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Kalman Filtering and Information Fusion by Hongbin Ma, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.