Fayez F. M. El-Sousy scite author profile

His research interests include modeling and control of motor drives, motion-control systems, wind energy systems, digital signal processing-based computer control systems, computational intelligent of power electronics, electric drives and power systems, intelligent control theories including fuzzy logic, neural networks, and wavelets, nonlinear control, optimal control, and robust control. MD. RABIUL ISLAM (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the

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Robust adaptive H∞ position control via a wavelet-neural-network for a DSP-based permanent-magnet synchronous motor servo drive system

El-Sousy

2010

IET Electr. Power Appl.

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Nonlinear Robust Optimal Control via Adaptive Dynamic Programming of Permanent-Magnet Linear Synchronous Motor Drive for Uncertain Two-Axis Motion Control System

El-Sousy

Abuhasel

2020

IEEE Trans. on Ind. Applicat.

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Fayez F. M. El-Sousy

Intelligent Optimal Recurrent Wavelet Elman Neural Network Control System for Permanent-Magnet Synchronous Motor Servo Drive

Robust wavelet-neural-network sliding-mode control system for permanent magnet synchronous motor drive

Hybrid ${\rm H}^{\infty}$-Based Wavelet-Neural-Network Tracking Control for Permanent-Magnet Synchronous Motor Servo Drives

Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive

Adaptive hybrid control system using a recurrent RBFN-based self-evolving fuzzy-neural-network for PMSM servo drives

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Robust adaptive H∞ position control via a wavelet-neural-network for a DSP-based permanent-magnet synchronous motor servo drive system

Nonlinear Robust Optimal Control via Adaptive Dynamic Programming of Permanent-Magnet Linear Synchronous Motor Drive for Uncertain Two-Axis Motion Control System

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