DESIGN OF A NEURAL CONTROLLER FOR AN UNMANNED AERIAL VEHICLE USING REINFORCEMENT LEARNING

Abstract

A neural controller was designed for a multi-rotor unmanned aerial vehicle (UAV), the machine learning of which was accomplished using reinforcement learning. A UAV control system was designed in the Matlab Simulink environment, where a neural controller was included. An analysis of the resulting system was carried out.