Automatic Control and Routing of Marine Vessels/Автоматическое управление и маршрутизация морских судов

Издание на английском языке
Due to the intensive development of the global economy, many problems are constantly emerging connected with the safety of ships' motion in the context of increasing marine traffic. These problems seem to be especially significant for the further development of marine transportation services, with the need to considerably increase their efficiency and reliability One of the commonly used approaches to ensuring safety and efficiency is the wide implementation of various automated systems for guidance and control, including popular systems such as marine autopilots, dynamic positioning systems, speed control systems, automatic routing installations, etc.
This Special Issue is focused on various problems related to the analysis, design, modelling, and operation of the aforementioned systems. The Issue collected ten papers that cover such areas as identification using neural networks, optimal weather routing, sliding mode control, tracking control, logistics and cooperation between seaports and carriers, control of multi-joint autonomous underwater vehicles, path-following control, and collision avoidance systems.
A brief description of each paper is given in the following section.

Contents
Margarita V. Sotnikova Automatic Control and Routing of Marine Vessels
Reprinted from: J. Mar. Sci. Eng. 2022,10, 618, doi:10.3390/jmse10050618
Peng-Fei Xu, Chen-Bo Han, Hong-Xia Cheng, Chen Cheng and Tong Ge
A Physics-Informed Neural Network for the Prediction of Unmanned Surface Vehicle Dynamics
Reprinted from: J. Mar. Sci. Eng. 2022,10,148, doi:10.3390/jmse10020148
Jose Antonio Gonzalez-Prieto, Carlos Perez-Collazo and Yogang Singh
Adaptive Integral Sliding Mode Based Course Keeping Control of Unmanned Surface Vehicle
Reprinted from: J. Mar. Sci. Eng. 2022,10, 68, doi:10.3390/jmse10010068
Elena A. Lezhnina and Yulia E. Balykina
Cooperation between Sea Ports and Carriers in the Logistics Chain
Reprinted from: J. Mar. Sci. Eng. 2021, 9, 774, doi:10.3390/jmse9070774
Wei Zhao, Yan Wang, Zhanshuo Zhang and Hongbo Wang
Multicriteria Ship Route Planning Method Based on Improved Particle Swarm Optimization-Genetic Algorithm
Reprinted from: J. Mar. Sci. Eng. 2021, 9, 357, doi:10.3390/jmse9040357
Lin Yu, Qinghao Meng and Hongwei Zhang
3-Dimensional Modeling and Attitude Control of Multi-Joint Autonomous Underwater Vehicles
Reprinted from: J. Mar. Sci. Eng. 2021, 9, 307, doi:10.3390/jmse9030307
Tamara A. Volkova, Yulia E. Balykina and Alexander Bespalov
Predicting Ship Trajectory Based on Neural Networks Using AIS Data
Reprinted from: J. Mar. Sci. Eng. 2021, 9, 254, doi:10.3390/jmse9030254
Zhanshuo Zhang, Yuhan Zhao, Guang Zhao, Hongbo Wang and Yi Zhao
Path-Following Control Method for Surface Ships Based on a New Guidance Algorithm
Reprinted from: J. Mar. Sci. Eng. 2021, 9,166, doi:10.3390/jmse9020166
Zhang Songtao and Zhao Peng
L2-Gain Based Adaptive Robust Heel/Roll Reduction Control Using Fin Stabilizer during Ship Turns
Reprinted from: J. Mar. Sci. Eng. 2021, 9, 89, doi:10.3390/jmse9010089
Evgeny I. Veremey
Optimal Damping Concept Implementation for Marine Vessels' Tracking Control
Reprinted from: J. Mar. Sci. Eng. 2021, 9, 45, doi:10.3390/jmse9010045
Zhiying Guan, Yan Wang, Zheng Zhou and Hongbo Wang Research on Early Warning of Ship Danger Based on Composition Fuzzy Inference
Reprinted from: J. Mar. Sci. Eng. 2020, 8,1002, doi:10.3390/jmse8121002