Synthesis, training and analyzing the performance of an artificial neural network (ANN) for controlling the longitudinal motion of an unmanned aerial vehicle
Synthesis, training and analyzing the performance of an artificial neural network (ANN) for controlling the longitudinal motion of an unmanned aerial vehicle

Author(s): Radostina Calovska, Stefan Biliderov
Subject(s): Economy, Business Economy / Management, Accounting - Business Administration, Business Ethics, Transport / Logistics
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: Unmanned Aerial Vehicle (UAV); Longitudinal Motion; Fuzzy Interference System (FIS) Artificial Neural Network (ANN)
Summary/Abstract: Researching the possibilities of controlling different mechatronic systems with elements of artificial intelligence expands their potential application in different spheres of the human life. In the presented material, an algorithm for building an artificial neural network (ANN) has been synthesized, which is used in controlling the longitudinal motion of an unmanned aerial vehicle (UAV).

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