Browse Publications Technical Papers 2004-01-3133
2004-11-02

Neural Networks Contribution to Modeling for Flight Control 2004-01-3133

Today, civil aviation is facing new challenges in nonlinear flight control design. Recent nonlinear control techniques offer solutions to these challenges but also bring the need for onboard models of numerical aerodynamics coefficients. The requirements on these potentially onboard models are very strong, since they must be accurate, reliable and compact to cope with aeronautical design's golden rules.
It appears that neural networks can meet the aeronautical requirements. However, the usual neural networks design tools are neither autonomous nor fast enough for standard industrial use. We developed integrated neural network identification software to create new automated tools needed for aeronautical industrial applications, such as architecture optimisation and maximum statistical error quantification.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
X