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Study of a neural network-based system for stability augmentation of an airplane
Isanta Navarro, Roger
Lizandra Dalmases, José Oriol; Nejjari Akhi-Elarab, Fatiha
This study aims to develop, train and evaluate a stability augmentation system for an airplane, in compilable code (C ++), using neural networks and the equations governing and airplane motion. The use of neural networks offers certain advantages in terms of learning capability, adaptability, fault tolerance and speed of response, which today are of great interest in the design of control systems.
Àrees temàtiques de la UPC::Aeronàutica i espai::Mecànica de vol::Estabilitat i control
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Stability of airplanes
Neural networks (Computer science)
Airplanes--Control systems
Estabilitat dels avions
Xarxes neuronals (Informàtica)
Avions -- Sistemes de control
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/bachelorThesis
Universitat Politècnica de Catalunya
         

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