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- W2150626147 abstract "For flight control systems, this paper proposes an adaptive control approach based on a framework of Explicit Model Following Direct Adaptive Control scheme. As a first step, a modified F-16 dynamics model is developed to explore control surface redundancies, as well as to enable modelling of dynamics changes result from faults, failures and/or plant deviations. In this modified model, each control surface can be individually controlled. Next, this paper proposes a flight control framework that integrates adaptive neural network, non-linear dynamic inversion, control allocation, and model reference following to leverage their synergies. Then, the proposed approach is tested using the F-16 nonlinear model developed and its performance is validated via numerical simulations." @default.
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- W2150626147 date "2015-01-01" @default.
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- W2150626147 title "Development of a Nonlinear Reconfigurable F-16 Model and Flight Control Systems Using Multilayer Adaptive Neural Networks" @default.
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- W2150626147 doi "https://doi.org/10.1016/j.ifacol.2015.08.073" @default.
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