IEEE, Dalian Maritime University, China
Dr. Ying Zhao is a distinguished Chinese academic and researcher in the field of intelligent control and automation, currently serving as an Associate Professor at the Department of Automation, Dalian Maritime University. With an active postdoctoral research role at Dalian University of Technology under the mentorship of Prof. Sun Ximing, he has significantly contributed to the domains of anti-disturbance and switching control systems. His research achievements are deeply rooted in cutting-edge technologies like cyber-physical systems, multi-agent navigation, and aero-engine systems.
Publication Profile
🎓 Education Background
Dr. Zhao earned his Ph.D. in Control Theory and Control Engineering from Northeastern University in 2019 under the supervision of Prof. Zhao Jun, an IEEE Fellow. He previously completed his Master’s degree in Applied Mathematics from Liaoning Technical University in 2015 and his Bachelor’s degree in Mathematics and Applied Mathematics from the same university in 2012. His strong academic foundation in both mathematics and control engineering has guided his interdisciplinary research focus.
💼 Professional Experience
Since 2019, Dr. Zhao has been an Associate Professor at Dalian Maritime University, where he also mentors Master’s and PhD students. Concurrently, he has been pursuing postdoctoral research at the Dalian University of Technology under the guidance of Prof. Sun Ximing. His work has bridged both academia and industry through various collaborative and government-funded research projects in aerospace, robotics, and intelligent marine systems.
🏆 Awards and Honors
Dr. Zhao’s excellence in research and teaching has earned him numerous accolades, including the Liaoning Provincial Outstanding Thesis Advisor Award (2022), the Dalian Maritime University Teaching Excellence Award (2021 & 2023), and the prestigious China Postdoctoral International Exchange Fellowship (2020). These awards underscore his commitment to innovation and education in the field of control systems engineering.
🔬 Research Focus
Dr. Zhao’s research is centered on Intelligent Control for Autonomous Systems, focusing on switching and anti-disturbance control, networked cooperative control for unmanned vehicles, and robust cyber-physical applications. His work has led to the development of advanced control strategies that improve the performance and safety of multi-agent systems, unmanned surface vehicles (USVs), and aero-engine systems under complex dynamic environments.
✅ Conclusion
With a prolific research portfolio and a strong presence in both academic and industrial collaborations, Dr. Ying Zhao stands out as a leading figure in the field of control engineering. His work continues to advance intelligent systems, bringing innovation to real-world autonomous and aerospace applications.
📚 Top Research Publications with Highlights
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H∞ anti-disturbance event-triggered control for aero-engine systems via switched affine models
Journal: IEEE Transactions on Aerospace and Electronic Systems, Year: 2024
Cited by: 3 articles
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Time-event-memory triggered switching dynamic positioning for unmanned marine vehicles with mass-switched and dual-source disturbances
Journal: IEEE Transactions on Intelligent Transportation Systems, Year: 2024, Vol. 25(12): 21210–21220
Cited by: 5 articles
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H∞ anti-disturbance switching control for switched affine systems with its application to turbofan engine model
Journal: IEEE Transactions on Circuits and Systems II: Express Briefs, Year: 2024
Cited by: 2 articles
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Bumpless tracking switching control for interval type-2 switched positive T-S fuzzy systems
Journal: IEEE Transactions on Fuzzy Systems, Year: 2024
Cited by: 4 articles
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Dynamic memory event-triggered anti-disturbance control for switched cyber-physical systems and its application to switched RLC circuit
Journal: IEEE Transactions on Circuits and Systems I, Year: 2024
Cited by: 1 article
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Switching dynamic event-triggered prescribed performance control for underactuated ASVs
Journal: IEEE Transactions on Vehicular Technology, Year: 2024
Cited by: 2 articles
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Bumpless switching control for aircraft engine control systems with actuator fault based on switched LPV models
Journal: IEEE Transactions on Industrial Electronics, Year: 2024
Cited by: 3 articles
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Event-triggered adaptive anti-disturbance switching control for switched systems with dynamic neural network disturbance modeling
Journal: IEEE Transactions on Neural Networks and Learning Systems, Year: 2023
Cited by: 6 articles
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Event-triggered anti-disturbance control design for aeroengine systems via switched models
Journal: AIAA Journal, Year: 2022, Vol. 60(9): 5448–5461
Cited by: 9 articles
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Rate bumpless transfer control for switched linear systems and its application to aero-engine control design
Journal: IEEE Transactions on Industrial Electronics, Year: 2020, Vol. 67(6): 4900–4910
Cited by: 21 articles