One of the main issues in engineering is the identification of nonlinear systems. Because of
the complicated as well as unexpected behaviours of these chaotic systems, it is introduced …

This study presents a novel non‐linear mapping‐based feedback technique for controlling
chaotic permanent magnet synchronous motor (PMSM) using dynamic surface control …

This paper addresses the speed tracking problem of a permanent magnet synchronous
motor (PMSM) under the influence of parametric uncertainties and external load torque …

In this paper, we proposed a sliding mode control method for the bearingless permanent
magnet slice motor for the blood pump based on the genetic particle swarm algorithm, which …

This paper concerns the control problems of an induction motor with chaotic behavior due to
the defiance of indirect field oriented control applied with a proportional integral (PI) speed …

To design control algorithm for a permanent magnet synchronous motor, the parameter of
PMSM must be estimated accurately. In this paper a well known whale optimization …

This study focuses on the accurate tracking control and sensorless estimation of external
force disturbances on robot manipulators. The proposed approach is based on an adaptive …

The unsupervised algorithm of artificial intelligence (AI), named ART (Adaptive Resonance
Theory), is used to first roughly classify an image, that is, after the image is processed by the …

The paper presents an improved adaptive sliding mode control method based on fuzzy
neural networks for a class of nonlinear systems subjected to input nonlinearity with …

A novel MIMO adaptive linear feedback controller is proposed in this paper to synchronise
chaotic permanent magnet synchronous motors (PMSM). The proposed control uses a …