Study of a neural network-based system for stability augmentation of an airplane
Document typeMaster thesis (pre-Bologna period)
Rights accessOpen Access
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.