Optimal Estimation and Information Fusion: Theory and Algorithms
theory and algorithms
$320.99
- Hardcover
401 pages
- Release Date
18 August 2025
Summary
Mastering Optimal Estimation and Information Fusion: A Practical Guide
This book delves into the core principles of optimal estimation and sensor information fusion for stochastic dynamic systems. It provides a comprehensive overview of essential theories and methods, including:
- Stochastic System Models: Understand the foundations for modeling uncertain dynamic systems.
- Optimal Estimation Methods: Explore techniques for achiev…
Book Details
| ISBN-13: | 9789819631728 |
|---|---|
| ISBN-10: | 9819631726 |
| Author: | Ming Lei |
| Publisher: | Springer Nature Switzerland AG |
| Imprint: | Springer Nature Switzerland AG |
| Format: | Hardcover |
| Number of Pages: | 401 |
| Release Date: | 18 August 2025 |
| Weight: | 0g |
| Dimensions: | 235mm x 155mm |
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About The Author
Ming Lei
Dr. Ming Lei received his doctoral degree in control theory and control engineering from Xi’an Jiao Tong University (XJTU) in 2006. He conducted postdoctoral research and was a visiting research fellow at the University of Bordeaux I and METRO-FRANCE in France from 2008 to 2012. He is currently an associate professor at Shanghai Jiao Tong University (SJTU). His main research interests include stochastic estimation and nonlinear filtering, maneuvering multi-target tracking and multi-source information fusion, and their applications in maneuvering target detection, unmanned aerial vehicle guidance and control.
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