TY - BOOK ID - 113600069 TI - Automatic Control and Routing of Marine Vessels AU - Veremey, Evgeny AU - Sotnikova, Margarita PY - 2022 SN - 3036559205 3036559191 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Technology: general issues KW - History of engineering & technology KW - collision avoidance KW - ship domain KW - fuzzy inference KW - collision risk KW - early warning system KW - marine vessel KW - tracking controller KW - stability KW - functional KW - optimal damping KW - fin stabilizer KW - ship turning KW - heel/roll reduction KW - L2-gain KW - uncertainty KW - non-linearity KW - ship motion control KW - path-following KW - guidance algorithm KW - nonlinear feedback KW - AIS Data KW - trajectory prediction KW - waterway transportation KW - neural networks KW - autonomous navigation KW - multi-joint autonomous underwater vehicle (MJ-AUV) KW - 3-dimensional modeling KW - LQR KW - LESO KW - multicriteria route planning KW - genetic algorithm KW - particle swarm optimization KW - oceanic meteorological routing KW - cooperative game theory KW - supply chain management KW - supply disruption KW - unmanned surface vehicle KW - Guidance, Navigation and Control KW - course keeping KW - adaptive sliding mode KW - unmanned surface vehicle (USV) KW - system identification KW - traditional neural network KW - physics-informed neural network KW - zigzag test KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:113600069 AB - 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. ER -