The nonlinear modelling ability of neural networks has been widely recognised as an
effective tool to identify and control dynamic systems, with applications including nonlinear …

It is a well–known fact that difficulties are generally encountered when mathematical
modelling is performed on vehicle systems and subsystems that are inherently non–linear …

Recent developments in the area of the artificial neural networks (NN) provide an alternative
approach to the modelling of vehicular dynamics, particularly near their operational limits …

During the past decade, the aircraft vehicle design process has undergone a major shift of
focus from pure performance towards a balance between vehicle characteristics and cost …

This paper studies neural network models of vehicle dynamics. We consider both models
with a generic layer architecture and models with specialised topologies that hard-wire …

Neural networks'(NNs) capability of mapping the nonlinear functions of variables describing
the behaviour of objects and the simplicity of designing their configuration favours their …

Neural networks are applied to the identification of non-linear structural dynamic systems.
Two complementary problems inspired from customer surveys are successively considered …

In the last years a hierarchical model structure has been developed by the authors for the
optimal design of engine control strategies. This structure is composed of a group of models …

Properties of neural network performance are investigated by studying the modelling of non-
linear dynamical systems. Network complexity, node selection, prediction and the effects of …

This paper discusses the use of artificial neural networks (ANNs) for dynamic modelling of
time series. We briefly present the theoretical basis for the modelling as a prediction of a …