Energy-optimal path planning in the coastal ocean

Energy-optimal path planning in the coastal ocean

We integrate data-driven ocean modeling with the stochastic Dynamically Orthogonal (DO) level-set optimization methodology to compute and study energy-optimal paths, speeds, and headings for ocean vehicles in the Middle-Atlantic Bight (MAB) region. We hindcast the energy-optimal paths from among exa...

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Bibliographic Details
Main Authors: Narayanan Subramani, Deepak (Contributor), Haley, Patrick (Contributor), Lermusiaux, Pierre (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: American Geophysical Union (AGU), 2018-12-20T20:46:19Z.
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