Design and control of magnetic levitation system by optimizing fractional order PID controller using ant colony optimization algorithm
A Mughees, SA Mohsin - IEEE Access, 2020 - ieeexplore.ieee.org
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 …
used to levitate a ferromagnetic object in free space. This paper presents the stability control …
Quasi-sliding mode control with orthogonal endocrine neural network-based estimator applied in anti-lock braking system
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 …
an input-output model which is based on a combination of quasi-sliding mode and neural …
Adaptive PID control based on orthogonal endocrine neural networks
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 …
paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev …
Pole position problem for Meixner filters
SA Prokhorov, IM Kulikovskikh - Signal Processing, 2016 - Elsevier
This paper is motivated by previous research that demonstrates the importance of the
explicit solution to the pole position problem. The main purpose of this paper is to solve the …
explicit solution to the pole position problem. The main purpose of this paper is to solve the …
Design of generalised orthogonal filters: Application to the modelling of dynamical systems
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 …
inside their transfer function. This further improvement of classical orthogonal filters allows …
Modeling of dynamic systems using orthogonal endocrine adaptive neuro-fuzzy inference systems
M Milojković, D Antić… - Journal of …, 2015 - asmedigitalcollection.asme.org
This paper presents a new method for designing adaptive neuro-fuzzy inference systems
(ANFIS). Improvements are made by introducing specially developed orthogonal functions …
(ANFIS). Improvements are made by introducing specially developed orthogonal functions …
Application of neural networks with orthogonal activation functions in control of dynamical systems
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 …
polynomials of arbitrary order. Filters designed on the bases of these functions are …
Designing optimal models of nonlinear MIMO systems based on orthogonal polynomial neural networks
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 …
designed orthogonal polynomial neural networks. These networks utilize the feature that the …
On a new class of quasi-orthogonal filters
In this article, a new class of quasi-orthogonal filters, based on the Legendre and Malmquist-
type quasi-orthogonal polynomials, is presented. These filters are generators of quasi …
type quasi-orthogonal polynomials, is presented. These filters are generators of quasi …
Generalized quasi-orthogonal functional networks applied in parameter sensitivity analysis of complex dynamical systems
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 …
networks in the sensitivity analysis of complex dynamical systems. First, a new type of first …