Synthesis of neurocontroller for multirotor unmanned aerial vehicle based on neuroemulator

This paper presents a method of creating a neurocontroller based on a multilayer perceptron for an unmanned aerial vehicle. We show how a neural network can effectively emulate dynamic characteristics of an aerial craft. Another network learns to control the emulator, using backpropagation algorithm...

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Bibliographic Details
Main Authors: Sergey Andropov, Alexei Guirik, Mikhail Budko, Marina Budko
Format: Article
Language:English
Published: FRUCT 2017-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct20/files/And.pdf