机译:重复路径规划的迭代学习路径优化,应用于三维跨不安飞行空气载体风能系统
North Carolina State Univ Dept Mech & Aerosp Engn Raleigh NC 27695 USA;
Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA;
Penn State Univ Dept Mech & Nucl Engn State Coll PA 16802 USA;
North Carolina State Univ Dept Mech & Aerosp Engn Raleigh NC 27695 USA|Altaeros Energies Inc Somerville MA 02143 USA;
Adaptation models; Optimization; Performance analysis; Aerodynamics; Wind energy; Geometry; Iterative learning control; Airborne wind energy (AWE); emerging control applications; iterative learning control (ILC); path optimization;
机译:机翼风能束缚机翼侧风飞行的实时优化与适应
机译:用于空气滚筒闭环飞行的实验室规模实验表征和动态缩放评估
机译:机载风能系统的模型预测路径跟踪控制
机译:基于迭代学习的航路点优化,用于重复路径规划,并应用于机载风能系统
机译:无人机露天矿高分辨率成像的飞行路径规划和优化
机译:基于迭代学习的无人水面飞行器路径和速度曲线优化
机译:机载风能系统的自适应飞行路径控制