Estimating the parameters of a geared DC motor is crucial in terms of its non-linear features.
In this paper, parameters of a geared DC motor are estimated genetically. Mathematical …

This paper deals with the comparative analysis of modern fractional techniques for an
armature-controlled DC servomotor. The mathematical modeling of an armature-controlled …

A new adaptive-like neural control strategy for motion reference trajectory tracking for a
nonlinear electromagnetic suspension dynamic system is introduced. Artificial neural …

This article focuses on the optimal gain selection for Proportional Integral (PI) controllers
comprising a speed control scheme for the Permanent Magnet Synchronous Motor (PMSM) …

Robotic systems have experienced exponential growth in their utilization for manufacturing
applications over recent decades. Control systems responsible for executing desired robot …

A new on-line and time-domain parameter estimation approach of harmonics in electric
power system signals is introduced. The developed parametrical identification perspective is …

This paper deals with the motion trajectory tracking control problem based on output
feedback and artificial neural networks for anthropomorphic manipulator robots under …

This work introduces a new methodology based on neural networks (NNs) and Prony's
method to estimate the signal parameters during power oscillations related to transient …

An asymptotic online estimation approach of significant harmonics and DC offset component
of multi-frequency oscillating electric signals based on B-spline artificial neural networks is …

In order to mitigate the influence of the torque disturbance and improve the tracking
performance of the dual-motor servo system, this paper designs a controller by combining …