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

Magnetic levitation (Maglev) systems are usually strongly nonlinear, open-loop unstable and
fast responding. In order to control the position of the steel ball in a Maglev system, a data …

A power system that comprises a photovoltaic (PV), wind energy system (WES), and fuel cell
(FC) with a battery energy storage system (BESS), is collectively called a hybrid power …

The problem of control and stabilizing inherently non-linear and unstable magnetic levitation
(Maglev) systems with uncertain equilibrium states has been studied. Accordingly, some …

Magnetic levitation system has the characteristics of nonlinear, uncertainty, and multiple
disturbances. Traditional controllers are difficult to achieve better control effects. In order to …

Feedback Linearization and Model Reference Adaptive Control of a Magnetic Levitation
System Page 1 Feedback Linearization and Model Reference Adaptive Control of a …

This paper deals with the structure and characteristics of PID Neural Network controller for
single input and single output systems. PID Neural Network is a new kind of controller that …

The aim ol the paper is to present a design framework for two-degree-of-freedom (2Dol)
proportional integral (PI) controllers that allows to deal with the control system performance …

In this paper, we present the problem of robust design of surge controller in centrifugal
compression system using fuzzy techniques. The use of fuzzy techniques in modelling and …

Maglev (Magnetic Levitation) systems are an interesting class of systems since they work
without any physical contact and are hence frictionless. Due to this attractive property, such …