UAV Using Neural Networks / Autonomous Systems / Ascending Technologies / McGraw-Hill / John Wiley & Sons / /
Country
Switzerland / / /
Facility
Center of Gravity / Flying Machine Arena / /
IndustryTerm
adaptation law / iteration-domain feedback law / real-time feedback law / presented learning algorithm / feedback control algorithms / iterative learning law / feedback systems / neural networks / iterative learning algorithm / learning law / electronics / iterationdomain feedback law / proposed iterative learning algorithm / iteration feedback law / iteration-domain learning algorithm / low-level control algorithms / robotic systems / feedback control law / open-source systems / learning algorithm / update law / learning algorithms / /
Organization
Center of Gravity / World Congress / Institute for Dynamic Systems and Control / Swiss National Science Foundation / U.S. Securities and Exchange Commission / /
A Frequency Domain Iterative Feed-Forward Learning Scheme for High Performance Periodic Quadrocopter Maneuvers Markus Hehn and Raffaello D’Andrea Abstract— Quadrocopters exhibit complex high-speed flight dynamics, an