LEADER 04158nam 2200913z- 450 001 9910639998203321 005 20240402173248.0 010 $a3-0365-5920-5 035 $a(CKB)5470000001633371 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/95779 035 $a(EXLCZ)995470000001633371 100 $a20202301d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomatic Control and Routing of Marine Vessels 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (184 p.) 311 $a3-0365-5919-1 330 $aDue 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. 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 610 $acollision avoidance 610 $aship domain 610 $afuzzy inference 610 $acollision risk 610 $aearly warning system 610 $amarine vessel 610 $atracking controller 610 $astability 610 $afunctional 610 $aoptimal damping 610 $afin stabilizer 610 $aship turning 610 $aheel/roll reduction 610 $aL2-gain 610 $auncertainty 610 $anon-linearity 610 $aship motion control 610 $apath-following 610 $aguidance algorithm 610 $anonlinear feedback 610 $aAIS Data 610 $atrajectory prediction 610 $awaterway transportation 610 $aneural networks 610 $aautonomous navigation 610 $amulti-joint autonomous underwater vehicle (MJ-AUV) 610 $a3-dimensional modeling 610 $aLQR 610 $aLESO 610 $amulticriteria route planning 610 $agenetic algorithm 610 $aparticle swarm optimization 610 $aoceanic meteorological routing 610 $acooperative game theory 610 $asupply chain management 610 $asupply disruption 610 $aunmanned surface vehicle 610 $aGuidance, Navigation and Control 610 $acourse keeping 610 $aadaptive sliding mode 610 $aunmanned surface vehicle (USV) 610 $asystem identification 610 $atraditional neural network 610 $aphysics-informed neural network 610 $azigzag test 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 700 $aVeremey$b Evgeny$4edt$01316710 702 $aSotnikova$b Margarita$4edt 702 $aVeremey$b Evgeny$4oth 702 $aSotnikova$b Margarita$4oth 906 $aBOOK 912 $a9910639998203321 996 $aAutomatic Control and Routing of Marine Vessels$93032745 997 $aUNINA