The electromagnet levitation control system (EMS) is the core component of the magnetic
levitation train. However, its nature is characterized by an inherent instability and strongly …

In this paper, an adaptive dynamic programming discrete‐time linear quadratic Riccati (ADP‐
DTLQR) control is designed for an electromagnetic levitation system (EMS) to track the …

A novel adaptive tracking controller for magnetic levitation systems (MLS) is developed. The
controller is based on a special adaptive control scheme incorporating fuzzy model of …

In this paper, an adaptive dynamic programming discrete-time LQR optimal control is
designed for an electromagnetic levitation system (EMS) with a H∞ Kalman filter to track the …

For improving the dynamic quality and steady-state performance, the hybrid controller based
on recurrent neural network (RNN) is designed to implement the position control of the …

This paper presents a control system design for a magnetic levitation system (Maglev) or
MLS using sliding mode control (SMC). The MLS problem of levitating the object in the air …

Aiming at the problem of optimal design of the controller of electromagnetic levitation
system, this paper proposes a gradient estimator-based controller design and optimization …

This paper presents the design and implementation of a hybrid control system that uses
Proportional-Derivative (PD) and High-Speed Switching Controller (HSSC) methods to …

Nonlinear phenomena occur in engineering structures, biological systems, social processes,
and in economics. Therefore, nonlinear problems are of interest to engineers, biologists …

An air-blower with active magnetic bearings could improve working efficiency and reduce
energy consumption by avoiding contact between the rotor shaft and the stator part. The …