Abstract: A fixed-wing vertical take-off and landing (VTOL) vehicle configured with a composite adaptive nonlinear tracking controller that utilizes a real-time accurate estimation of the complex aerodynamic forces surrounding the wing(s) and rotors in order to achieve a high performance flight. The method employs online adaptation of force models, and generates accurate estimation for wing and rotor forces in real-time based on information from a three-dimensional airflow sensor. The novel three-dimensional airflow sensor illustrates improved velocity tracking and force prediction during the transition stage from hover to forward flight.

Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.

Abstract: An automated flying transport vehicle that capitalizes on the strengths and complexities of a fixed and rotary winged aircraft. The air transport vehicle comprises a body aerodynamically designed to generate lift and a plurality of rotors that can generate lift as well as forward thrust from which a fixed wing portion of the air transport vehicle will begin to generate additional lift allowing for a sustained flight.

Abstract: A fixed-wing vertical take-off and landing (VTOL) vehicle configured with a composite adaptive nonlinear tracking controller that utilizes a real-time accurate estimation of the complex aerodynamic forces surrounding the wing(s) and rotors in order to achieve a high performance flight. The method employs online adaptation of force models, and generates accurate estimation for wing and rotor forces in real-time based on information from a three-dimensional airflow sensor. The novel three-dimensional airflow sensor illustrates improved velocity tracking and force prediction during the transition stage from hover to forward flight.

Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.

Abstract: An automated flying transport vehicle that capitalizes on the strengths and complexities of a fixed and rotary winged aircraft. The air transport vehicle comprises a body aerodynamically designed to generate lift and a plurality of rotors that can generate lift as well as forward thrust from which a fixed wing portion of the air transport vehicle will begin to generate additional lift allowing for a sustained flight.