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• W185524194 abstract "In this paper a novel dual neural network based technique to control the pitch angle of an aircraft is presented. To control the nonlinear aerodynamics, two neural networks, one as an online trained controller and another as an internal model of the system, are used together. Numerical simulation results are validated using the real-time Hardware in the Loop (HIL) simulation. Stability analysis of the controller shows under given boundary conditions the controller satisfies Lyapunov's stability criteria. The neural networks model and controller are based on the Autoregressive architecture (ARX)." @default.
• W185524194 created "2016-06-24" @default.
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• W185524194 date "2008-02-06" @default.
• W185524194 modified "2023-09-25" @default.
• W185524194 title "Dual network based adaptive controller for pitch control of an aircraft" @default.
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