A neural network baseline problem for control of aircraft flare and touchdown
Neural networks for control
The Fuzzy Model for Aircraft Landing Control
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Fuzzy neural network approaches for robotic gait synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The purpose of this paper is to investigate the use of evolutionary fuzzy neural systems to aircraft automatic landing control and to make the automatic landing system more intelligent. Three intelligent aircraft automatic landing controllers are presented that use fuzzy-neural controller with BPTT algorithm, hybrid fuzzy-neural controller with adaptive control gains, and fuzzy-neural controller with particle swarm optimization, to improve the performance of conventional automatic landing system. Current flight control law is adopted in the intelligent controller design. Tracking performance and adaptive capability are demonstrated through software simulations.