Maritime autonomous vessels / / Haitong Hu, Lúcia Moreira, C. Guedes Soares.
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...
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Place / Publishing House: | Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023. |
Year of Publication: | 2023 |
Language: | English |
Physical Description: | 1 online resource (332 pages) |
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Table of 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
- 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.