New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks

This paper presents a new approach for identifying and validating the F/A-18 aeroservoelastic model, based on flight flutter tests. The neural network (NN), trained with five different flight flutter cases, is validated using 11 other flight flutter test (FFT) data. A total of 16 FFT cases were obtained for all three flight regimes (subsonic, transonic, and supersonic) at Mach

• Type: Journal
• Year: 2010
• Where: TNN
• Authors: N. Boely, R. M. Botez
• Keywords: Flight Flutter, Flight Flutter Cases, Flight Flutter Test, Management, TNN 2010