Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Robert Skulstad"'
Publikováno v:
Modeling, Identification and Control, Vol 42, Iss 1, Pp 17-26 (2021)
Dynamic models of ships have been widely used for model-based control and short-term prediction in the past. Identifying the parameters of such models has mainly been done through scaled model tests, full scale tests or computational fluid dynamics s
Externí odkaz:
https://doaj.org/article/68d54f13206943448a6dc4dd960851f2
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 4, Pp 297-311 (2020)
The concept of digital twins, characterized by the high fidelity with which they mimic their physical counterpart, provide potential benefits for the next generation of advanced ships. It allows analysis of data and monitoring of marine systems to av
Externí odkaz:
https://doaj.org/article/c5c1c6116ab5486a9465885794a35307
Autor:
Motoyasu Kanazawa, Robert Skulstad, Tongtong Wang, Guoyuan Li, Lars Ivar Hatledal, Houxiang Zhang
Publikováno v:
IEEE Sensors Journal. 22:11173-11183
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:2561-2571
Publikováno v:
IEEE Sensors Journal
Onboard sensors contribute to data-driven understanding of complex and nonlinear ship dynamics in real time. By using sensors, precise ship trajectory prediction plays a key role in intelligent collision avoidance. A hybrid predictor makes prediction
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
Ocean Engineering. 279:114434
Autor:
Motoyasu Kanazawa, Tongtong Wang, Yasuo Ichinose, Robert Skulstad, Guoyuan Li, Houxiang Zhang
Publikováno v:
Ocean Engineering. 280:114874
Publikováno v:
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR).