Guzey, M.2026-03-262026-03-262017978153861817210.1109/APUAVD.2017.83088052-s2.0-85047395701https://doi.org/10.1109/APUAVD.2017.8308805https://hdl.handle.net/20.500.14901/3793Neural Network-based adaptive consensus control is designed in this paper for a team of fixed-wing unmanned aerial vehicles. The group of unmanned aerial vehicles moving at fixed altitudes are controlled through a novel adaptive formation controller to drive them to a pre-defined formation shape. The theoretical conjecture is verified by simulation results. © 2017 IEEE.eninfo:eu-repo/semantics/closedAccessAdaptive ControlConsensusFeedback LinearizationFormation ControlMultiple Unmanned Aerial VehiclesNeural NetworksConference Object