Automatic Control and Routing of Marine Vessels

Edited by
December 2022
184 pages
  • ISBN978-3-0365-5919-3 (Hardback)
  • ISBN978-3-0365-5920-9 (PDF)

This book is a reprint of the Special Issue Automatic Control and Routing of Marine Vessels that was published in

Environmental & Earth Sciences

Due to the intensive development of the global economy, many problems are constantly emerging connected to 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 most commonly used approaches to ensuring safety and efficiency is the wide implementation of various automated systems for guidance and control, including such popular systems as marine autopilots, dynamic positioning systems, speed control systems, automatic routing installations, etc.

This Special Issue focuses on various problems related to the analysis, design, modelling, and operation of the aforementioned systems. It covers such actual problems as tracking control, path following control, ship weather routing, course keeping control, control of autonomous underwater vehicles, ship collision avoidance. These problems are investigated using methods such as neural networks, sliding mode control, genetic algorithms, L2-gain approach, optimal damping concept, fuzzy logic and others. This Special Issue is intended to present and discuss significant contemporary problems in the areas of automatic control and the routing of marine vessels.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
collision avoidance; ship domain; fuzzy inference; collision risk; early warning system; marine vessel; tracking controller; stability; functional; optimal damping; fin stabilizer; ship turning; heel/roll reduction; L2-gain; uncertainty; non-linearity; ship motion control; path-following; guidance algorithm; nonlinear feedback; AIS Data; trajectory prediction; waterway transportation; neural networks; autonomous navigation; multi-joint autonomous underwater vehicle (MJ-AUV); 3-dimensional modeling; LQR; LESO; multicriteria route planning; genetic algorithm; particle swarm optimization; oceanic meteorological routing; cooperative game theory; supply chain management; supply disruption; unmanned surface vehicle; Guidance, Navigation and Control; course keeping; adaptive sliding mode; unmanned surface vehicle (USV); system identification; traditional neural network; physics-informed neural network; zigzag test; n/a