MAGnetic LEVitation (Maglev) is a multi-variable, non-linear and unstable system that is
used to levitate a ferromagnetic object in free space. This paper presents the stability control …

There is increasing need for tighter controls of coal-fired plants due to more stringent
regulations and addition of more renewable sources in the electricity grid. Achieving this will …

Control of the maglev system is one of the most significant technologies of the maglev train.
The common proportion integration differentiation (PID) method, which has fixed control …

Real control systems require robust control performance to deal with unpredictable and
altering operating conditions of real-world systems. Improvement of disturbance rejection …

The paper investigates the application of the Artificial Neural Network (ANN) in modeling of
double-link flexible robotic manipulator (DLFRM). The system was categorized under multi …

System Identification is used to build mathematical models of a dynamic system based on
measured data. To design the best controllers for linear or nonlinear systems, mathematical …

In this article, we present a new method for the synthesis of almost and quasi-orthogonal
polynomials of arbitrary order. Filters designed on the bases of these functions are …

In this article, a new intelligent hybrid controller is proposed. The controller is based on the
combination of the orthogonal endocrine neural network (OENN) and orthogonal endocrine …

This paper presents a new approach for improving performances of magnetic levitation
system. Controlled parameter is the amplitude which levitated object achieves during …

Currently, the proportional integral derivative (PID) control algorithm is most commonly used
in the field of industrial control. People are not satisfied with the existing basic theory of …