Título:
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Neural networks for optimal control of aircraft landing systems
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Autor/a:
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Lau, K; López González, Roberto; Oñate Ibáñez de Navarra, Eugenio
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental; Universitat Politècnica de Catalunya. GMNE - Grup de Mètodes Numèrics en Enginyeria |
Abstract:
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In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined in terms of finding a function that is an extremal for some functional. Thus the multi-layer perceptron provides a direct method for solving general variational problems. The application of this numerical method is investigated through an optimal control example, the aircraft landing problem. Using a multilayer perceptron neural network, the optimal control of the aircraft was
determined by locating the extremal value of a variational problem formulated using the state variables of the aircraft. |
Materia(s):
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-Àrees temàtiques de la UPC::Aeronàutica i espai::Mecànica de vol -Àrees temàtiques de la UPC::Informàtica -Neural networks (Computer science)--Mathematical models -Landing aids (Aeronautics) -neural networks -multilayer perceptron -optimal control -aircraft landing -Xarxes neuronals (Informàtica) -- Aplicacions -Avions -- Pilotatge |
Derechos:
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Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
Editor:
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International Association of Engineers (IAENG)
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Compartir:
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