Neural Networks Structured for Control Application to Aircraft Landing
Schley, Charles, Chauvin, Yves, Henkle, Van, Golden, Richard
–Neural Information Processing Systems
A recurrent back-propagation neural network architecture was then designed to numerically estimate the parameters of an optimal nonlinear control law for landing the aircraft. The performance of the network was then evaluated.
Neural Information Processing Systems
Dec-31-1991
- Country:
- North America > United States > California (0.15)
- Industry:
- Aerospace & Defense (0.52)
- Transportation > Air (0.70)
- Technology: