Modulation and Control Techniques in Power Electronic Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 February 2027 | Viewed by 76
Editors
Interests: power electronics; electric drives; smart grids; renewable energy systems; intelligent control; cyber-physical systems; power system protection and control
Interests: wireless physical-layer security; machine learning-based intrusion detection; deep learning for cybersecurity; low-power wireless sensor networks; hardware security; ai
Special Issue Information
Dear Colleagues,
Power electronic systems have become essential components in modern energy conversion, transportation, industrial automation, renewable energy integration, electric vehicles, energy storage systems, and smart grid infrastructures. The increasing penetration of renewable energy resources and the growing demand for high-efficiency and reliable power conversion technologies have created significant challenges and opportunities in the development of advanced modulation and control strategies for power electronic converters and drives.
This Special Issue aims to provide a comprehensive platform for researchers, engineers, and industry practitioners to present the latest advances in modulation techniques, control methodologies, modeling approaches, optimization strategies, and intelligent control solutions for power electronic systems. The focus is on innovative technologies that enhance efficiency, reliability, stability, power quality, fault tolerance, cybersecurity, and operational performance in modern power electronic applications.
The scope of this Special Issue includes, but is not limited to, pulse-width modulation (PWM) techniques, space vector modulation, model predictive control, adaptive and robust control methods, nonlinear control, intelligent control, machine learning and artificial intelligence applications, digital control implementation, fault diagnosis and condition monitoring, renewable energy interfaces, motor drives, microgrids, smart grids, battery energy storage systems, electric vehicle power electronics, wide-bandgap semiconductor technologies, and cyber-physical security of power electronic infrastructures.
Recent developments in artificial intelligence, digital twins, data analytics, and cybersecurity have significantly expanded the capabilities of modern power electronic systems. However, many existing studies focus on individual control techniques or specific applications without providing integrated solutions that address the growing complexity of future energy systems. This Special Issue seeks to bridge this gap by encouraging contributions that combine advanced modulation methods, intelligent control algorithms, data-driven approaches, and cybersecurity-aware designs.
The proposed Special Issue complements the existing literature by providing a dedicated venue that emphasizes both theoretical developments and practical implementations. Particular attention will be given to interdisciplinary research that connects power electronics with artificial intelligence, machine learning, cybersecurity, smart energy systems, and digital transformation technologies. Contributions involving experimental validation, hardware-in-the-loop testing, real-time implementation, industrial applications, and emerging standards are especially encouraged.
By bringing together recent advances from academia and industry, this Special Issue aims to accelerate the development of next-generation power electronic systems that support sustainable, resilient, intelligent, and secure energy infrastructures.
Dr. Samir Abood
Prof. Dr. Annamalai Annamalai
Prof. Dr. Mohamed F. Chouikha
Guest Editors
Manuscript Submission Information
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Keywords
- power electronics
- modulation techniques
- control systems
- pulse width modulation (PWM)
- model predictive control
- intelligent control
- artificial intelligence
- machine learning
- motor drives
- renewable energy systems
- energy storage systems
- smart grids
- microgrids
- fault diagnosis
- condition monitoring
- cybersecurity
- digital twins
- electric vehicles
- wide-bandgap semiconductors
- power converters
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