Machine Learning for Intelligent Control: Application of Reinforcement Learning Techniques to the Development of Flight Control Systems for Miniature UAV Rotorcraft

Machine Learning for Intelligent Control: Application of Reinforcement Learning Techniques to the Development of Flight Control Systems for Miniature UAV Rotorcraft

This thesis investigates the possibility of using reinforcement learning (RL) techniques to create a flight controller for a quadrotor Micro Aerial Vehicle (MAV). A capable flight control system is a core requirement of any unmanned aerial vehicle. The challenging and diverse applications in which...

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Bibliographic Details
Main Author: Hayes, Edwin Laurie
Language:en
Published: University of Canterbury. Department of Mechanical Engineering 2013
Subjects:
MAV
Micro Aerial Vehicle
UAV
Unmanned Aerial Vehicle
UAS
Unmanned Aerial System
Flight Control System
Machine Learning
Reinforcement Learning
Online Access:http://hdl.handle.net/10092/7810

Internet

http://hdl.handle.net/10092/7810

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