Synthesis, training and analyzing the performance of an artificial neural network (ann) for controlling the longitudinal motion of an unmanned aerial vehicle
Year: 2025
Type: conference-paper
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).
Authors: Radostina Calovska, Stefan Biliderov
Institution: Bulgarian Air Force Academy
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411021076
