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This work describes the hardware and software architectures used for controlling an unmanned aerial vehicle (UAV). It has successfully operated for more than a hundred flight hours. The main aim of this work is to allow quick development and test of control strategies on a complex dynamic system. The software has been designed using parallel modules. Application to the control of a radio control (RC)...
This work proposes the use of hybrid models of supervised neural networks for modeling of a dynamical complex system and analyze different training architectures, in this case a scale helicopter, whose attitude and position identification is performed. This model will be useful for the development and utilization of the helicopter as unmanned aerial vehicle (UAV). Throughout this work the supervised...
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