Asma Aziz

Lecturer

Edith Cowan University

Australia

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Asma Aziz is a Lecturer at Edith Cowan University in Australia. Her research areas focus on control systems, renewable energy resources, and the integration of advanced algorithms in electric vehicles and power converters. Recent publications include studies on robust adaptive controllers and decentralized control systems, emphasizing the scalability and reliability of renewable-based isolated power systems.

Asma Aziz

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Articles (21)

Design of a Robust Adaptive Cascade Fractional-Order Proportional–Integral–Derivative Controller Enhanced by Reinforcement Learning Algorithm for Speed Regulation of Brushless DC Motor in Electric Vehicles

Design of Robust Adaptive Nonlinear Backstepping Controller Enhanced by Deep Deterministic Policy Gradient Algorithm for Efficient Power Converter Regulation

Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for Electric Vehicles

Design of a Robust Adaptive Cascade Fractional‐Order Nonlinear‐Based Controller Enhanced Using Grey Wolf Optimization for High‐Power DC/DC Dual Active Bridge Converter in Electric Vehicles

Design of an Improved Robust Fractional‐Order PID Controller for Buck–Boost Converter using Snake Optimization Algorithm

Renewable-Based Isolated Power Systems: A Review of Scalability, Reliability, and Uncertainty Modeling

Decentralised Consensus Control of Hybrid Synchronous Condenser and Grid-Forming Inverter Systems in Renewable-Dominated Low-Inertia Grids

Networked Multi-Agent Deep Reinforcement Learning Framework for the Provision of Ancillary Services in Hybrid Power Plants

Addressing reliability challenges in generation capacity planning under high penetration of renewable energy resources and storage solutions: A review

Optimising grid-forming inverters to prevent under-frequency load shedding with minimal energy storage

Strengthening Power Systems for Net Zero: A Review of the Role of Synchronous Condensers and Emerging Challenges

Design of An Adaptive Robust PI Controller for DC/DC Boost Converter using Reinforcement-Learning Technique and Snake Optimization Algorithm

Techno-Economic Factors Impacting the Intrinsic Value of Behind-the-Meter Distributed Storage

System strength shortfall challenges for renewable energy-based power systems: A review

Driving training‐based optimization (DTBO) for global maximum power point tracking for a photovoltaic system under partial shading condition

Heterogeneous learning method of ensemble classifiers for identification and classification of power quality events and fault transients in wind power integrated microgrid

High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy

Modern Optimal Controllers for Hybrid Active Power Filter to Minimize Harmonic Distortion

Impact of Mixed Pedagogy on Engineering Education

Voltage Stability of Power Systems with Renewable-Energy Inverter-Based Generators: A Review

Optimal Sizing of Energy Storage System to Reduce Impacts of Transportation Electrification on Power Distribution Transformers Integrated With Photovoltaic

Collaborators (4)

Haitham A. Mahmoud

Seyyed Mortaza Ghamri

Veerapandiyan Veerasamy

Daryoush Habibi

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