To the point:
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| State-of-the-art research on motion control of maritime autonomous surface ships |
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| "At present, with the development of waterborne transport vehicles, research on ship faces a new round of challenges in terms of intelligence and autonomy. The concept of Maritime Autonomous Surface Ships (MASS) has been put forward by the International Maritime Organization in 2017, in which MASS become the new focus of the waterborne transportation industry. This paper elaborates on the state-of-..." [More...] |
| L. Wang, Q. Wu, J. Liu, S. Li, R.R. Negenborn. State-of-the-art research on motion control of maritime autonomous surface ships. Journal of Marine Science and Engineering, vol. 7, no. 12, December 2019. Open access. 
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| State-of-the-art research on motion control of maritime autonomous surface ships |
| 
| "At present, with the development of waterborne transport vehicles, research on ship faces a new round of challenges in terms of intelligence and autonomy. The concept of Maritime Autonomous Surface Ships (MASS) has been put forward by the International Maritime Organization in 2017, in which MASS become the new focus of the waterborne transportation industry. This paper elaborates on the state-of-..." [More...] |
| L. Wang, Q. Wu, J. Liu, S. Li, R.R. Negenborn. State-of-the-art research on motion control of maritime autonomous surface ships. Journal of Marine Science and Engineering, vol. 7, no. 12, December 2019. Open access. 
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| Dynamic optimization of ship energy efficiency considering time-varying environmental factors |
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| "Nowadays, optimization of ship energy efficiency attracts increasing attention in order to meet the requirement for energy conservation and emission reduction. Ship operation energy efficiency is significantly influenced by environmental factors such as wind speed and direction, water speed and depth, etc. Owing to inherent time-variety and uncertainty associated with these various factors, it is ..." [More...] |
| K. Wang, X. Yan, Y. Yuan, X. Jiang, X. Lin, R.R. Negenborn. Dynamic optimization of ship energy efficiency considering time-varying environmental factors. Transportation Research Part D: Transport and Environment, vol. 62, pp. 685-698, July 2018. 
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Even more to the point:
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