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TNN
2010

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

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

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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

N. Boely, R. M. Botez

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Added	22 May 2011
Updated	22 May 2011
Type	Journal
Year	2010
Where	TNN
Authors	N. Boely, R. M. Botez

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