This paper presents a comprehensive review of the industrial applications of artificial neural
networks (ANNs), in the last 12 years. Common questions that arise to practitioners and …

The aim of this paper is to present a review of current control techniques for three-phase
voltage-source pulsewidth modulated converters. Various techniques, different in concept …

This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …

Artificial intelligence (AI) techniques, particularly the neural networks, are recently having
significant impact on power electronics and motor drives. Neural networks have created a …

This book is a comprehensive reference source for practicing engineers and students
specializing in electric power engineering and industrial electronics. It will illustrate the state …

Memristor-based circuit architecture for multilayer neural networks is proposed. It is a first of
its kind demonstrating successful circuit-based learning for multilayer neural network built …

Les algorithmes génétiques, la logique floue et les réseaux de neurones sont de plus en
plus utilisés dans des domaines d'application très variés. Nous nous proposons de les …

This paper presents a novel approach of speed control for a permanent magnet
synchronous motor (PMSM) using on-line self tuning artificial neural network (ANN). Based …

In this paper, an application of speed and load torque observers is presented. The aim of the
observer implementation is to be used in the diagnostic system for a motor speed sensor …

This paper presents a digital circuit design approach for a commonly used activation
function, hyperbolic tangent sigmoid functions, for neural networks. Our design concept for …