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- W1489246298 abstract "A controller for an agile, high-subsonic autonomous flight vehicle, incorporating neural network and genetic algorithm techniques, is presented. Simulated flight results for nominal and off-nominal vehicle configurations are reported. The results show that an inverse dynamic model neural network can offer better tracking performance and greater robustness than a conventional linear controller. However, the genetic algorithm technique employed here was found to offer no significant improvement in controller performance. >" @default.
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- W1489246298 date "2002-11-19" @default.
- W1489246298 modified "2023-09-27" @default.
- W1489246298 title "Simulated flight control using a hybrid neural network/genetic algorithm architecture" @default.
- W1489246298 doi "https://doi.org/10.1109/etd.1995.403478" @default.
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