Artificial neural network (ANN) capabilities are analyzed for some problems associated with UAV motion control. A synthesis of adjust controller is carried out to minimize a difference between behavior of the controlled system (control object + adjust controller) and a reference model. An approach offered is tested computationally by solving of longitudinal short-period UAV motion control problem. Results obtained demonstrate high efficiency of the approach.
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