Real-Time Neural Network Based Online Identification Technique for a UAV Platform

This paper presents the results of an online identification algorithm based on Autoregressive models aided by Artificial Neural Networks for the non-linear dynamics of an unmanned aerial vehicle (UAV) platform. Numerical simulations were performed for different combinations of the network structures and the autoregressive model. The weights were trained and updated online using the Levenberg Marquardt method. The results have been validated using the real-time Hardware in the Loop simulation technique for different sets of flight data.