Mostefa Kermadi

Lecturer (Assistant Professor) in Electrical & Electronics Engineering

University of Leicester

United Kingdom

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Mostefa Kermadi is an Assistant Professor in Electrical & Electronics Engineering at the University of Leicester, UK. His research interests focus on control systems for grid-connected inverters, including model-free predictive current control and robust sliding mode controllers. He has contributed to recent publications addressing performance assessments of voltage source inverters and optimization techniques for maximum power point tracking in renewable energy systems.

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

Collaborators (3)

Saad Mekhilef

Distinguished Professor

Swinburne University of Technology

AUSTRALIA

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Michael Negnevitsky

University of Tasmania

AUSTRALIA

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Hemanshu Pota

University of New South Wales

AUSTRALIA

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Mostefa Kermadi

Research Interests

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About

Articles (10)

Model-Free Deadbeat Predictive Current Control for Grid-Connected Inverters Using Autoregressive Model and Recursive Least Squares

Reduced-Sensor-Based Optimal Switching Sequence Model Predictive Current Control for Grid-Tied Inverter With LCL Filter

Finite-Time Robust Controller Using Sliding Mode Approach for Grid-Connected Inverters Under Unbalanced and Weak Grids

Analysis and assessment of electrical and thermal performance of five‐phase voltage source inverter under different modulation strategies: Comparative study under balanced and unbalanced load

Chattering-Free Fixed-Time Robust Sliding Mode Controller for Grid-Connected Inverters Under Parameter Variations

An Improved Mutated Predictive Control for Two-Level Voltage Source Inverter With Reduced Switching Losses

Model-Free Predictive Current Controller for Voltage Source Inverters Using ARX Model and Recursive Least Squares

An Adaptive Perturb and Observe Algorithm With Enhanced Skipping Feature for Fast Global Maximum Power Point Tracking Under Partial Shading Conditions

Ultra-Fast and Accurate MPPT Control Structure for Mobile PV System Under Fast-Changing Atmospheric Conditions

Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning

Collaborators (3)

Saad Mekhilef

Michael Negnevitsky

Hemanshu Pota

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