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, Haley, Patrick, Lermusiaux, Pierre
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Published: American Geophysical Union (AGU) 2018
Online Access:http://hdl.handle.net/1721.1/119808
https://orcid.org/0000-0002-5972-8878
https://orcid.org/0000-0002-1869-3883

Internet

http://hdl.handle.net/1721.1/119808
https://orcid.org/0000-0002-5972-8878
https://orcid.org/0000-0002-1869-3883

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