Motion Control and Path Planning of Marine Vehicles/Управление движением и планирование траектории движения морских транспортных средств

Книга на английском языке
With the continuous improvement of artificial intelligence and sensing technologies, the marine field is ushering in unprecedented change. In this wave of change, the design and application of marine transportation have become significant tools for promoting the marine economy and environmental protection. Motion control and path planning have become key technologies to ensure that marine transportation vehicles operate efficiently and intelligently in complex marine environments. Therefore, this Special Issue focuses on motion control and path planning for marine vehicles and explores how autonomous underwater vehicles (AUVs), surface unmanned vehicles (USVs), and deep-sea landers (DSLVs) can play a key role in the oceans through optimization strategies and new approaches. We will delve into the application of intelligent and autonomous motion control systems on marine vehicles, and the innovation and optimization of path-planning techniques. In this Special Issue, we brought together the latest results from experts and researchers, aiming to share their cutting-edge research in motion control and path planning for marine vehicles. We expect that the presentation of these papers will provide new ideas and solutions to promote marine science and technology development and application. Finally, we would like to convey our most profound gratitude to the staff of MDPI Books and the editorial team of Marine Science and Engineering, in particular the assistant editors, talented authors, and diligent reviewers.

Contents
Yuchao Wang, Yinsong Qu, Shiquan Zhao, Ricardo Cajo and Huixuan Fu
Smooth Sliding Mode Control for Path Following of Underactuated Surface Vehicles Based on LOS Guidance
Mingyao Zhang, Zheping Yan, Jiajia Zhou and Lidong Yue
Distributed Dual Closed-Loop Model Predictive Formation Control for Collision-Free Multi-AUV System Subject to Compound Disturbances
Zuodong Pan, Wei Guo, Hongming Sun, Yue Zhou and Yanjun Lan
Path Planning of Deep-Sea Landing Vehicle Based on the Safety Energy-Dynamic Window Approach Algorithm
Huixuan Fu, Wenjing Yao, Ricardo Cajo and Shiquan Zhao
Trajectory Tracking Predictive Control for Unmanned Surface Vehicles with Improved Nonlinear Disturbance Observer
Hongli Xu, Hongxu Yang, Zhongyu Bai and Xiangyue Zhang
Underwater Acoustically Guided Docking Method Based on Multi-Stage Planning
Jingrun Liang and Lisang Liu
Optimal Path Planning Method for Unmanned Surface Vehicles Based on Improved Shark-Inspired Algorithm
Gun Rae Cho, Hyungjoo Kang, Min-Gyu Kim, Mun-Jik Lee, Ji-Hong Li, Hosung Kim, et al.
An Experimental Study on Trajectory Tracking Control of Torpedo-like AUVs Using Coupled Error Dynamics
Xuhang Xu, Chunshan Liu, Jianghui Li, Yongchun Miao and Lou Zhao
Long-Term Trajectory Prediction for Oil Tankers via Grid-Based Clustering
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Optimized APF-ACO Algorithm for Ship Collision Avoidance and Path Planning
Qinghua He, Zhenyu Hou and Xiaoxiao Zhu
A Novel Algorithm for Ship Route Planning Considering Motion Characteristics and ENC Vector Maps
Chen Chen, Weidong Zhou and Lina Gao
A Novel Robust IMM Filtering Method for Surface-Maneuvering Target Tracking with Random Measurement Delay
Wei Zhang, Wenhua Wu, Zixuan Li, Xue Du and Zheping Yan
Three-Dimensional Trajectory Tracking of AUV Based on Nonsingular Terminal Sliding Mode and Active Disturbance Rejection Decoupling Control
Juan Li, Zhenyang Tian, Gengshi Zhang and Wenbo Li
Multi-AUV Formation Predictive Control Based on CNN-LSTM under Communication Constraints
Benwei Zhang and Guoqing Xia
Output Feedback Tracking Control with Collision Avoidance for Dynamic Positioning Vessel under Input Constraint
Caipeng Ma, Jinjun Jia, Tiedong Zhang, Shaoqun Wu and Dapeng Jiang
Horizontal Trajectory Tracking Control for UnderactuatedAutonomous Underwater Vehicles Based on Contraction Theory
Bowen Xing, Xiao Wang, Liu Yang, Zhenchong Liu and Qingyun Wu
An Algorithm of Complete Coverage Path Planning for Unmanned Surface Vehicle Based on Reinforcement Learning
Qunhong Tian, Tao Wang, Yuming Song, Yunxia Wang and Bing Liu
Autonomous Underwater Vehicle Path Tracking Based on the Optimal Fuzzy Controller with Multiple Performance Indexes
Donghao Xu, Zipeng Liu, Jiuzhen Song and Xueqian Zhou
Finite Time Trajectory Tracking with Full-State Feedback of Underactuated Unmanned Surface Vessel Based on Nonsingular Fast Terminal Sliding Mode
Guoqing Zhang, Jun Han, Jiqiang Li and Xianku Zhang
Distributed Robust Fast Finite-Time Formation Control of Underactuated ASVs in Presence of Information Interruption
Bowen Xing, Manjiang Yu, Zhenchong Liu, Yinchao Tan, Yue Sun and Bing Li
A Review of Path Planning for Unmanned Surface Vehicles