Autonomous Underwater Vehicles

Autonomous Underwater Vehicles

EnglishHardbackPrint on demand
Yan, Jing
Springer Verlag, Singapore
EAN: 9789811660955
Print on demand
Delivery on Friday, 28. of August 2026
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Detailed information

Autonomous underwater vehicles (AUVs) are emerging as a promising solution to help us explore and understand the ocean. The global market for AUVs is predicted to grow from 638 million dollars in 2020 to 1,638 million dollars by 2025 – a compound annual growth rate of 20.8 percent. To make AUVs suitable for a wider range of application-specific missions, it is necessary to deploy multiple AUVs to cooperatively perform the localization, tracking and formation tasks. However, weak underwater acoustic communication and the model uncertainty of AUVs make achieving this challenging. This book presents cutting-edge results regarding localization, tracking and formation for AUVs, highlighting the latest research on commonly encountered AUV systems. It also showcases several joint localization and tracking solutions for AUVs. Lastly, it discusses future research directions and provides guidance on the design of future localization, tracking and formation schemes for AUVs. Representing a substantial contribution to nonlinear system theory, robotic control theory, and underwater acoustic communication system, this book will appeal to university researchers, scientists, engineers, and graduate students in control theory and control engineering who wish to learn about the core principles, methods, algorithms, and applications of AUVs. Moreover, the practical localization, tracking and formation schemes presented provide guidance on exploring the ocean. The book is intended for those with an understanding of nonlinear system theory, robotic control theory, and underwater acoustic communication systems.
EAN 9789811660955
ISBN 9811660956
Binding Hardback
Publisher Springer Verlag, Singapore
Publication date November 2, 2021
Pages 211
Language English
Dimensions 235 x 155
Country Singapore
Readership Professional & Scholarly
Authors Guan Xinping; Luo, Xiaoyuan; Yan, Jing; Yang Xian; Zhao, Haiyan
Illustrations 93 Illustrations, color
Edition 2021 ed.
Series Cognitive Intelligence and Robotics
Manufacturer information
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