Prof. Miaomiao Ma, north china electric power university, China
Dr. Miaomiao Ma, born in February 1982, is a distinguished Chinese researcher specializing in model predictive control, optimal and robust control, and nonlinear control. Currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University, Beijing, he has made significant contributions to renewable power systems and mechatronic systems, particularly in automotive applications. With a strong foundation in control engineering, he has been actively involved in high-impact research and academic collaborations. Dr. Ma has held academic positions in China and Germany, including postdoctoral research at the University of Stuttgart under Prof. Frank Allgöwer. His research focuses on advanced control strategies for energy-efficient and resilient engineering systems. As an accomplished author, he has published extensively in leading journals and conferences, shaping the future of control theory applications in energy and automation. His expertise continues to influence both academia and industry.
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Suitability for the Research for Best Researcher Award – Miaomiao Ma
Dr. Miaomiao Ma is an accomplished researcher in control theory and engineering, particularly in model predictive control, optimal and robust control, and their applications in renewable power and mechatronic systems. His academic journey, from earning a Ph.D. from Jilin University to holding a prominent position as an Associate Professor at North China Electric Power University, highlights a strong foundation in both theoretical and applied research. His international exposure, including post-doctoral research at the University of Stuttgart under the supervision of Frank Allgöwer, further underscores his expertise in control engineering.
Dr. Ma has made significant contributions to the field, as evidenced by his extensive publication record in high-impact journals, including IEEE Transactions on Industrial Electronics, IET Renewable Power Generation, and ISA Transactions. His research primarily focuses on control strategies for micro-grids, wind energy systems, and power system stability, all of which are critical areas in modern energy and automation technologies. His innovative approaches, such as distributed moving horizon control and predictive load frequency control, have practical applications in optimizing energy efficiency and system stability. Additionally, his leadership in securing competitive research grants, including those from the Natural Science Foundation of China, further establishes his credibility as a leading researcher in his field.
🎓 Education
Dr. Miaomiao Ma earned his Ph.D. in Control Theory and Engineering from Jilin University in 2009, where he developed a disturbance attenuation control scheme for constrained systems under the guidance of Prof. Hong Chen. Prior to that, he completed his Master of Science in Control Theory and Engineering at Jilin University in 2006, focusing on robust control of active suspensions using LMI optimization. His undergraduate studies in Automation, also at Jilin University, provided him with a strong technical foundation in control engineering. Throughout his academic journey, Dr. Ma has consistently demonstrated excellence in control systems, optimization techniques, and predictive control methodologies. His educational background has played a pivotal role in shaping his research trajectory, leading to innovative contributions in model predictive control, nonlinear control strategies, and their applications in renewable energy and automotive systems. His commitment to education and research continues to drive advancements in control engineering.
💼 Professional Experience
Dr. Miaomiao Ma has accumulated extensive academic and research experience, currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University (NCEPU), since January 2015. Prior to this, he was an Assistant Professor at NCEPU from 2009 to 2014. His international exposure includes a postdoctoral research tenure at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany, under Prof. Frank Allgöwer from 2012 to 2013. Additionally, he was a visiting scholar at the same institute in 2007 and 2006. His professional journey has been marked by cutting-edge research in predictive and robust control, contributing significantly to renewable energy integration, micro-grid systems, and automotive control applications. His collaborative efforts with international researchers have strengthened global advancements in power systems and control engineering, solidifying his reputation as a leading figure in his field.
🏅 Awards and Recognition
Dr. Miaomiao Ma’s contributions to control engineering and renewable energy systems have earned him several prestigious recognitions. He has received multiple research excellence awards for his work in model predictive control and distributed optimization. His papers have been widely cited, earning accolades in high-impact journals such as IEEE Transactions on Industrial Electronics and IET Renewable Power Generation. He has also been an invited speaker at international conferences, sharing insights on predictive control applications. His research projects have been supported by national and international funding agencies, reinforcing his expertise in control systems. Furthermore, Dr. Ma has been recognized as a leading scholar in his field, contributing to advancements in renewable energy integration, micro-grid optimization, and robust control mechanisms. His outstanding research achievements continue to inspire innovation and development in engineering applications worldwide.
Dr. Miaomiao Ma possesses extensive research expertise in model predictive control, nonlinear control, and robust control strategies, particularly in renewable energy and automotive systems. His work focuses on optimizing micro-grid performance through distributed predictive control, ensuring stability in multi-area power systems. He specializes in H-infinity control, disturbance attenuation, and constrained optimization techniques, enhancing control strategies in energy systems. Dr. Ma’s interdisciplinary approach integrates control theory with mechatronics, resulting in innovative solutions for energy efficiency. His research methodologies involve algorithm development, simulation modeling, and real-time control implementations. With a strong publication record in renowned journals and conferences, he has contributed to shaping advanced control strategies for sustainable engineering. His collaborative projects with international researchers and institutions further demonstrate his ability to drive impactful research in modern control engineering applications.
Publication Top Notes
- Title: Distributed model predictive load frequency control of the multi-area power system after deregulation
Authors: M Ma, C Zhang, X Liu, H Chen
Citations: 164
Year: 2016
Journal: IEEE Transactions on Industrial Electronics
- Title: Distributed model predictive load frequency control of multi-area interconnected power system
Authors: M Ma, H Chen, X Liu, F Allgöwer
Citations: 134
Year: 2014
Journal: International Journal of Electrical Power & Energy Systems
- Title: Moving Horizon Tracking Control of Wheeled Mobile Robots With Actuator Saturation
Authors: H Chen, MM Ma, H Wang, ZY Liu, ZX Cai
Citations: 99
Year: 2009
Journal: IEEE Transactions on Control Systems Technology
- Title: LFC for multi‐area interconnected power system concerning wind turbines based on DMPC
Authors: M Ma, X Liu, C Zhang
Citations: 74
Year: 2017
Journal: IET Generation, Transmission & Distribution
- Title: Disturbance attenuation control of active suspension with non-linear actuator dynamics
Authors: MM Ma, H Chen
Citations: 58
Year: 2011
Journal: IET Control Theory & Applications
- Title: Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting
Authors: M Yang, D Wang, C Xu, B Dai, M Ma, X Su
Citations: 34
Year: 2023
Journal: Renewable Energy
- Title: Maximum power point tracking and voltage regulation of two-stage grid-tied PV system based on model predictive control
Authors: M Ma, X Liu, KY Lee
Citations: 31
Year: 2020
Journal: Energies
- Title: Constrained H₂ control of active suspensions using LMI optimization
Authors: M Ma, H Chen
Citations: 28
Year: 2006
Conference: Chinese Control Conference
- Title: Robust MPC for the constrained system with polytopic uncertainty
Authors: X Liu, S Feng, M Ma
Citations: 23
Year: 2012
Journal: International Journal of Systems Science
- Title: Moving horizon ℋ∞ control of variable speed wind turbines with actuator saturation
Authors: M Ma, H Chen, X Liu, F Allgöwer
Citations: 20
Year: 2014
Journal: IET Renewable Power Generation