Ruano, AntonioFleming, P. J.Teixeira, C. A.Rodriguez-Vázquez, K.Fonseca, C. M.2013-02-112013-02-112003Ruano, A. E.; Fleming, P. J.; Teixeira, C.; Rodriguez-Vázquez, K.; Fonseca, C. M. Nonlinear identification of aircraft gas-turbine dynamics, Neurocomputing, 55, 3-4, 551-579, 2003.09252312AUT: ARU00698;http://hdl.handle.net/10400.1/2286Identi cation results for the shaft-speed dynamics of an aircraft gas turbine, under normal operation, are presented. As it has been found that the dynamics vary with the operating point, nonlinear models are employed. Two di7erent approaches are considered: NARX models, and neural network models, namely multilayer perceptrons, radial basis function networks and B-spline networks. A special attention is given to genetic programming, in a multiobjective fashion, to determine the structure ofNARMAX and B-spline models.engGas-turbine enginesNonlinear system identificationNeural networksGenetic programmingMultiobjective optimisationjournal article2013-01-27http://dx.doi.org/10.1016/S0925-2312(03)00393-X