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Image of Autonomous Underwater Vehicles

Electronic Resource

Autonomous Underwater Vehicles

Yan, Jing - Personal Name; Yang, Xian - Personal Name; Zhao, Haiyan - Personal Name; Luo, Xiaoyuan - Personal Name; Guan, Xinping - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001238EB0001844623.827 AutCentral Library (OPAC)Available
Detail Information
Series Title
Cognitive Intelligence and Robotics
Call Number
623.827 Aut
Publisher
Singapore : Springer Singapore., 2021
Collation
xv, 211p.:ill
Language
English
ISBN/ISSN
978-981-16-6096-2
Classification
623.827
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Mobile robots
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Autonomous Underwater Vehicles
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