Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse
optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear …

In this paper, the author proposes a novel solution to evaluate the dependence between the
maximum roll angle and the minimum vertical force at the wheel on the vehicle's height and …

A new approach for trajectory tracking on uncertain complex networks is proposed. To
achieve this goal, a neural controller is applied to a small fraction of nodes (pinned ones) …

This paper presents a discrete-time inverse optimal neural controller, which is constituted by
combination of two techniques: 1) inverse optimal control to avoid solving the Hamilton …

A novel rollover risk assessment and control approach is presented. First, a road‐vehicle‐
environment coupling model with various random parameters, including wind velocity and …

Multi-trailer articulated heavy vehicles (MTAHVs) exhibit unstable motion modes at high
speeds, including jack-knifing, trailer swing, and roll-over. These unstable motion modes …

In this study, to investigate the factors affecting container semitrailer rollovers while driving
on interchange loop ramps, a simulation model was established in TruckSim on the basis of …

This chapter presents different approaches where neural networks (NNs) have been
successfully employed for the modeling and control of nonlinear dynamical systems. NNs …

Safety driving is due to the prevention of risks situation, one of the important risk is the
rollover of a heavy vehicle. Preventing this accident requires the knowledge of the rollover …

This paper presents a robust inverse optimal neural control approach for stabilization of
discrete-time uncertain nonlinear systems, which simultaneously minimizes a meaningful …