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230202 ||| eng |
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|a books978-3-0365-5920-9
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|a 9783036559209
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|a 9783036559193
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| 100 |
1 |
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|a Veremey, Evgeny
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| 245 |
0 |
0 |
|a Automatic Control and Routing of Marine Vessels
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2022
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| 300 |
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|a 1 electronic resource (184 p.)
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| 653 |
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|a particle swarm optimization
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| 653 |
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|a optimal damping
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| 653 |
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|a trajectory prediction
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| 653 |
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|a ship turning
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| 653 |
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|a collision risk
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| 653 |
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|a physics-informed neural network
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| 653 |
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|a supply chain management
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| 653 |
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|a functional
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| 653 |
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|a genetic algorithm
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| 653 |
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|a n/a
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| 653 |
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|a LESO
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| 653 |
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|a heel/roll reduction
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| 653 |
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|a cooperative game theory
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| 653 |
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|a guidance algorithm
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| 653 |
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|a ship motion control
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| 653 |
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|a neural networks
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| 653 |
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|a uncertainty
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| 653 |
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|a ship domain
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| 653 |
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|a nonlinear feedback
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| 653 |
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|a unmanned surface vehicle
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| 653 |
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|a History of engineering & technology / bicssc
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| 653 |
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|a unmanned surface vehicle (USV)
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| 653 |
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|a path-following
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| 653 |
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|a AIS Data
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a course keeping
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| 653 |
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|a early warning system
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| 653 |
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|a multi-joint autonomous underwater vehicle (MJ-AUV)
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| 653 |
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|a tracking controller
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| 653 |
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|a adaptive sliding mode
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| 653 |
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|a collision avoidance
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| 653 |
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|a fin stabilizer
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| 653 |
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|a 3-dimensional modeling
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| 653 |
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|a supply disruption
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| 653 |
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|a marine vessel
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| 653 |
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|a autonomous navigation
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| 653 |
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|a waterway transportation
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| 653 |
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|a stability
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| 653 |
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|a multicriteria route planning
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| 653 |
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|a Guidance, Navigation and Control
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| 653 |
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|a oceanic meteorological routing
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| 653 |
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|a fuzzy inference
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| 653 |
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|a system identification
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| 653 |
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|a L2-gain
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| 653 |
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|a LQR
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| 653 |
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|a non-linearity
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| 653 |
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|a zigzag test
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| 653 |
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|a traditional neural network
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| 700 |
1 |
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|a Sotnikova, Margarita
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| 700 |
1 |
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|a Veremey, Evgeny
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| 700 |
1 |
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|a Sotnikova, Margarita
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-5920-9
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/95779
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/6435
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 900
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| 082 |
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|a 530
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| 082 |
0 |
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|a 380
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|a 700
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|a 600
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|a 620
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|a 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.
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