Rodrigo San Martin

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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(More)
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