Optimal trajectories generated via nonlinear programming and learned by neural networks enable a single MPC to control a tailsitter UAV across hover, transition, and cruise without controller switching.
Linear tracking for a fixed-wing uav using nonlinear model predictive control.Control Systems Technology, IEEE Transactions on, 17:1202 – 1210, 10 2009
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A Universal Optimal Control Strategy for a Tailsitter UAV
Optimal trajectories generated via nonlinear programming and learned by neural networks enable a single MPC to control a tailsitter UAV across hover, transition, and cruise without controller switching.