AI Augmented GNC for Unmanned Underwater Vehicles: Case Studies of Contemporary UUV Systems - Couverture souple

Khan, Hammad

 
9798293157969: AI Augmented GNC for Unmanned Underwater Vehicles: Case Studies of Contemporary UUV Systems
Couverture souple
ISBN 13 : 9798293157969
Editeur : Independently published, 2025

Synopsis

It is anticipated that the demand for underwater transportation will increase in both the military and commercial sectors. This is due to its potential to reduce the chances of detection and enable the precise positioning of offshore underwater equipment and installations. Nonetheless, there is currently no established method for transporting a payload using multiple Hovering Autonomous Underwater Vehicles (HAUVs). Therefore, the purpose of this study is to identify the most effective AI-augmented GNC (Guidance, Navigation, and Control) approach for successfully transporting a payload using multiple HAUVs while minimizing the risk of collision with other surfaces and objects.
This book dives into a much deeper knowledge of GNC for unmanned systems and how conventional GNC systems can be replaced or augmented with AI-based strategies for effective dynamic analysis of the UUVs. The MathWorks Inc. software product MATLAB is employed for all the analyses presented in this book.

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Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798293157969
Reliure
Broché
Nombre de pages
138
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
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