2026-04-05T10:41:45Zhttps://recercat.cat/oai/request

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 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 http://www.iaeng.org/publication/WCE2007/WCE2007_pp904-911.pdf Restricted access - publisher's policy International Association of Engineers (IAENG)