… 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 physics …

… Neural networks can be trained with recorded vehicle data to represent the vehicle’s
dynamic behavior. We present a neural network architecture that has advantages over a physics…

… real vehicle and the associated hybrid learning scheme. The NN vehicle models the actual
vehicle dynamic behavior with the architecture of a real-time recurrent network. The NN was …

… In this part of the study, we examine how ANNs can be used in the area of road vehicle
dynamics. One of the most famous examples involving self-learning systems was carried out for …

… vehicles, it is necessary to acquire precise vehicle dynamics for … vehicle dynamics due to
the presence of uncertainty and nonlinearities [1], [2], [3]. The nonlinear behavior in the vehicle …

… dynamics of a Mercedes-Benz experimental lorry. In the FEM approximation of vehicle dynamics
… [9], and a multilayer perceptron neural network. In Section V experimental results with a …

… dynamics is investigated in Section 5. Online training of a neural network to model nonlinear
vehicle dynamics … Because vehicle dynamics are time variant the neural network structure …

… of their knowledge, deep neural networks have not been used in … vehicles. Therefore, there
is much less research on applying high-precision neural network model to vehicle dynamics …

… to the application of neural networks and fuzzy logic to vehicle dynamics and control. … the
application of neural networks and fuzzy logic to the dynamics and control of vehicles and their …

… neural network based Takagi-Sugeno (TS) fuzzy observer to estimate the lateral speed (or
sideslip angle) of nonlinear vehicle dynamics … to construct feedforward neural networks (NNs) …