No AccessMachine Learning for Flapping Wing Flight ControlMenno Goedhart, Erik-Jan Van Kampen, Sophie F. Armanini, Coen C. de Visser and Q Ping ChuMenno GoedhartDelft University of TechnologySearch for more papers by this author, Erik-Jan Van KampenDelft University of TechnologySearch for more papers by this author, Sophie F. ArmaniniDelft University of TechnologySearch for more papers by this author, Coen C. de VisserDelft University of TechnologySearch for more papers by this author and Q Ping ChuDelft University of TechnologySearch for more papers by this authorAIAA 2018-2135Session: Learning, Reasoning, and Data-Driven Systems IIPublished Online:7 Jan 2018https://doi.org/10.2514/6.2018-2135SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetailsSee PDF for referencesCited byLearning-based Path Tracking Control of a Flapping-wing Micro Air Vehicle What's Popular 2018 AIAA Information Systems-AIAA Infotech @ Aerospace 8–12 January 2018Kissimmee, Floridahttps://doi.org/10.2514/6.2018-2135 CrossmarkInformationCopyright © 2018 by Delft University of Technology. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. TopicsAircraft Components and StructureAircraft ControlAircraft DesignAircraft Flight Control SystemAircraft InstrumentsAircraft Operations and TechnologyAircraft Stability and ControlAircraft Wing DesignAircraftsAutomatic Flight Control SystemsFlight Control SurfacesHelicoptersInertial Measurement UnitRotorcraftsUnmanned Aerial Vehicle KeywordsMachine Learning ControlFlight ControlFlapping FrequencyProportional Integral ControllerElevator DeflectionNeural NetworksMicro Air VehicleAerodynamic CoefficientsAirspeedMarkov Decision ProcessPDF Topics Intelligent Systems