… In [7], robust stability analysis of a neural control based vehicle steering … High Order
Recurrent Neural Networks for applications to rollover prediction and prevention on heavy vehicles …

… use Recurrent Neural Networks for applications to rollover prediction and prevention on
heavy vehicles, … An update law for the high order recurrent neural network is proposed and the …

… However, if the rollover threat is predicted using the expected maneuvers, … predicted rollover
threat can be more effective. Many control strategies have been designed to prevent rollover…

… detect and predict the rollover risk for heavy vehicles is also … , based on the recurrent
neural network approach, is also … the Recurrent Neural Networks (RNN) as potential rollover …

… Recurrent Neural Networks (RNN) receiving and analyzing synthetic data, provided to them
by a realistic heavy vehicle … good estimates and predictions of the rollover indicators object …

… to prevent the rollover of heavy vehicles. They utilized the high-order sliding mode observer
… proposed in this article can predict the rollover risk and avoid impending rollover effectively. …

… vehicle will have a potential rollover soon. To explore the trend of critical data during the
rollover, we chose recurrent neural network (… Cadiou, Rollover risk prediction of heavy vehicles …

… development of recurrent neural networks for tripped rollover while … The Tanh recurrent
neural network can predict the rollover … , “Rollover Prediction and Control in Heavy Vehicles via …

… However, if rollover threat is predicted using an appropriate … the high order recurrent neural
nehvork is proposed via the Lyapunov methodology. The control law is synthesized using the …

… higher order terms in the RHONN model are finite. The learning law (10) is modified as in
[36], in order to … electrical microgrids, and formation control for unmanned aerial vehicle (UAV). …