The running environment of a magnetic levitation (maglev) vehicle is complex, with
problems such as track irregularity, external disturbance, varying system parameters, and …

Unexpected disturbance and ever-changing passengers are unfavorable factors that always
accompany maglev trains. If not considered or handled properly, they would deteriorate the …

We propose an intelligent adaptive backstepping control system using a recurrent neural
network (RNN) to control the mover position of a magnetic levitation apparatus to …

The electromagnet levitation control system is the core component of maglev trains, which
has a significant influence on the performance of the maglev train. However, the control …

In this paper, a robust dynamic sliding mode control system (RDSMC) using a recurrent
Elman neural network (RENN) is proposed to control the position of a levitated object of a …

When the electromagnetic suspension (EMS) type maglev vehicle is traveling over a track,
the airgap must be maintained between the electromagnet and the track to prevent contact …

A magnetic-levitation (maglev) transportation system including levitation and propulsion
control is a subject of considerable scientific interest because of highly nonlinear and …

A novel adaptive fixed-time controller (AFTC) based on disturbance compensation
technology is proposed to achieve high performance position precision control for magnetic …

In this paper, the exponentially tracking control problem for a magnetic levitation system
(MLS) in the presence of parameter uncertainties and external disturbances is investigated …

The levitation control in a linear magnetic-levitation (Maglev) rail system is a subject of
considerable scientific interest because of highly nonlinear and unstable behaviors. This …