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 …

This paper presents a new control method for nonlinear discrete-time systems, described by
an input-output model which is based on a combination of quasi-sliding mode and neural …

A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this
paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev …

In this article, we define a new class of orthogonal filters with complex poles and zeroes
inside their transfer function. This further improvement of classical orthogonal filters allows …

This paper presents a new method for designing adaptive neuro-fuzzy inference systems
(ANFIS). Improvements are made by introducing specially developed orthogonal functions …

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 …

This paper presents a new method for modelling of dynamic systems by using specially
designed orthogonal polynomial neural networks. These networks utilize the feature that the …

This paper presents one possible application of generalized quasi-orthogonal functional
networks in the sensitivity analysis of complex dynamical systems. First, a new type of first …

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

This papers presents the application of hybrid bond graphs in modeling and simulation of
submersible pump in water factory NAISSUS in Nis. The obtained model is used as plant …