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Title:
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Neural networks for optimal control of aircraft landing systems
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Author:
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Lau, K; López González, Roberto; Oñate Ibáñez de Navarra, Eugenio
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Other authors:
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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 |
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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. |
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Subject(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 |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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International Association of Engineers (IAENG)
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