Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA;
Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA;
Woods Hole Oceanographic Institute, Woods Hole, MA;
Woods Hole Oceanographic Institute, Woods Hole, MA;
Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA;
Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA;
Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA;
Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA;
Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA;
Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA;
Path planning; Batteries; Power demand; Correlation; Propulsion; Fluctuations; Underwater autonomous vehicles;
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机译:使用混合机械学习方法增强网络美国河流数据驱动运营供水预测模型的地球物理解读
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机译:基于双层优化的AUV时间最优路径规划
机译:使用简化模型的AUV路径规划的最优控制问题