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oai:recercat.cat:2117/1105732025-07-17T11:53:49Zcom_2072_1033col_2072_452950

Neural networks for optimal control of aircraft landing systems Lau, K López González, Roberto Oñate Ibáñez de Navarra, Eugenio Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental Centre Internacional de Mètodes Numèrics en Enginyeria Universitat Politècnica de Catalunya. GMNE - Grup de Mètodes Numèrics en Enginyeria 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 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. Postprint (published version) 2007 Conference report Lau, K., López, R., Oñate, E. Neural networks for optimal control of aircraft landing systems. A: World Congress on Engineering. "Proceedings of the World Congress on Engineering 2007: WCE 2007, July 2-4, 2007, London, U.K.". London: International Association of Engineers (IAENG), 2007, p. 904-911. 978-988-98671-5-7 https://hdl.handle.net/2117/110573 eng http://www.iaeng.org/publication/WCE2007/WCE2007_pp904-911.pdf Restricted access - publisher's policy 8 p. application/pdf International Association of Engineers (IAENG)