Name: AI Augmented GNC for Unmanned Underwater Vehicles. Case Studies of Contemporary UUV Systems (en Inglés)
SKU: 67469985
Price: 28590.00 CLP
Availability: InStock
Author: Hammad Khan

portada AI Augmented GNC for Unmanned Underwater Vehicles. Case Studies of Contemporary UUV Systems (en Inglés)

AI Augmented GNC for Unmanned Underwater Vehicles. Case Studies of Contemporary UUV Systems (en Inglés)

Formato

Libro Físico

Editorial

Independently published

Autor

Hammad Khan

Año

2025

Idioma

Inglés

N° páginas

140

Encuadernación

Tapa Blanda

Dimensiones

28x21.6x0.7 cm

ISBN13

9798293157969

AI Augmented GNC for Unmanned Underwater Vehicles. Case Studies of Contemporary UUV Systems (en Inglés)

Hammad Khan (Autor) · Independently published · Tapa Blanda

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Reseña del libro "AI Augmented GNC for Unmanned Underwater Vehicles. Case Studies of Contemporary UUV Systems (en Inglés)"

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.