For improving the convergence rate and time-varying disturbance rejection ability, an
adaptive nonsingular terminal sliding mode controller based on disturbance compensation …

Magnetic levitation systems belong to an important and challenging class of control
engineering problems with nonlinear uncertain dynamics, multiple disturbances and large …

Levitation control is a core technique of magnetic levitation (Maglev) trains, whose
performance has a significant impact on the driving safety and ride comfort during the …

Active magnetic bearings (AMB) provide non-contact support to rotors and require closed-
loop control systems as they are inherently unstable. The methodology to obtain parameters …

Belt conveyors are critical in coal transportation systems; however, they are supported by
rollers, which incur high energy costs. Magnetic levitation support is adopted. The …

In the previous work, the parameters of radial basis function network based autoregressive
(RBF-AR) models are estimated offline and no longer updated afterward. In this letter, an …

This paper presents an observer-based fast nonlinear model predictive control (NMPC)
scheme for translation control of magnetically levitated (maglev) positioning system subject …

Recently, the radial basis function (RBF) network-style coefficients AutoRegressive (with
exogenous inputs)[RBF-AR (X)] model identified by the structured nonlinear parameter …

A hybrid pseudo-linear RBF-ARX model that combines Gaussian radial basis function (RBF)
networks and linear ARX model structure is utilized for representing the dynamic behavior of …

The purpose of this study is to explore the design of a robust control strategy for regulating
the magnetic levitation system, which is affected by model uncertainty and surrounding …