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Maritime autonomous vessels / Haitong Hu, Lúcia Moreira, C. Guedes Soares.

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Format:
Book
Author/Creator:
Hu, Haitong, author.
Moreira, Lúcia, author.
Soares, C. Guedes, author.
Language:
English
Subjects (All):
Autonomous underwater vehicles.
Physical Description:
1 online resource (332 pages)
Place of Publication:
Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2023.
Summary:
This reprint is a printed edition of the Special Issue on Maritime Autonomous Vessels that was published in the Journal of Marine Science and Engineering. It contains an editorial and 17 peer-reviewed research studies in the field of Maritime Autonomous Surface Ships (MASS), Unmanned Surface Vessels (USVs), Autonomous Underwater Vehicles (AUVs), and underwater gliders, to name a few. The main goal of this reprint is to address key challenges, thereby promoting research on marine autonomous ships. There are many topics on autonomous vessels involved in this reprint, for instance, automatic control, manoeuvrability, collision avoidance, ship target identification, motion planning, and buckling analysis.
Contents:
Maritime Autonomous Vessels 1
Modified Vector Field Path-Following Control System for an Underactuated Autonomous Surface Ship Model in the Presence of Static Obstacles 5
A Practical Trajectory Tracking Scheme for a Twin-Propeller Twin-Hull Unmanned Surface Vehicle 25
A Unified Approach for Underwater Homing and Docking of over-Actuated AUV 43
Vertical Profile Diving and Floating Motion Control of the Underwater Glider Based on Fuzzy Adaptive LADRC Algorithm 67
Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests 87
Simulating Ship Manoeuvrability with Artificial Neural Networks Trained by a Short Noisy Data Set 107
Prediction of Maneuverability in Shallow Water of Fishing Trawler by Using Empirical Formula 123
Identification and Prediction of Ship Maneuvering Motion Based on a Gaussian Process with Uncertainty Propagation 145
An Efficient Ship Automatic Collision Avoidance Method Based on Modified Artificial Potential Field 161
Navigation Situation Clustering Model of Human-Operated Ships for Maritime Autonomous Surface Ship Collision Avoidance Tests 181
Navigation Situation Clustering Model of Human-Operated Ships for Maritime Autonomous Surface Ship Collision Avoidance Tests 181.
Notes:
Description based on online resource; title from PDF title page (MDPI - Multidisciplinary Digital Publishing Institute, viewed March 23, 2023).
ISBN:
3-0365-6414-4

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