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- W2151010298 abstract "This paper presents an application of dynamic inversion control with adaptive neural networks to a tailless fighter aircraft. We propose an extension of the dynamic inversion control using proportional-integral desired dynamics. The performance of the PI adaptive dynamic inversion controller is compared to an adaptive dynamic inversion controller using PD desired dynamics. The controller was tested in a 6-DOF simulation of the ICE tailless fighter aircraft. Simulation results are given for simultaneous longitudinal and lateral manoeuvres performed under nominal conditions and also with the simulated failure of a major control surface. The PI dynamic inversion controller with neural network adaptation outperforms both the baseline PI controller without adaptation and also a PD dynamic inversion controller with neural network adaptation." @default.
- W2151010298 created "2016-06-24" @default.
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- W2151010298 date "1999-01-01" @default.
- W2151010298 modified "2023-09-26" @default.
- W2151010298 title "PI control of a tailless fighter aircraft with dynamic inversion and neural networks" @default.
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- W2151010298 doi "https://doi.org/10.1109/acc.1999.786342" @default.
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