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- W2391258822 abstract "The control of aircraft's automatic approach and landing was designed,mainly using inverse system method,compensated by neural network for robustness.The learning rule of neural network was a linear function of the neural network's sensitivity with dead zone.Some typical atmospheric conditions,such as turbulence and windshear,were analyzed,which might occur in landing.Some simulations were made to verify the control law under above-mentioned complex atmospheric conditions.The simulation results show that the automatic landing system has good robustness to complex atmospheric conditions,and the error between the real flight altitude in landing and reference flight altitude is in a reasonable range." @default.
- W2391258822 created "2016-06-24" @default.
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- W2391258822 date "2006-01-01" @default.
- W2391258822 modified "2023-09-23" @default.
- W2391258822 title "Controller Design and Simulation of Aircraft's Automatic Landing Under Complex Atmospheric Conditions" @default.
- W2391258822 hasPublicationYear "2006" @default.
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