Prof. Liying Sun | Control Theory Application | Best Researcher Award

Prof. Liying Sun | Control Theory Application | Best Researcher Award

Prof. Liying Sun | Professor | Shanghai Dianji University | China

Dr. Liying Sun is a distinguished professor at Shanghai Dianji University with extensive expertise in control theory, particularly in nonlinear descriptor systems and Hamiltonian systems. Her research explores advanced mathematical and engineering control methodologies, including finite-time control, adaptive control, and stability analysis of nonlinear and singular Hamiltonian systems. She has made significant contributions to the theoretical development and practical implementation of robust control mechanisms that enhance system performance under uncertainty and external disturbances. Dr. Sun’s work is characterized by the integration of mathematical rigor with engineering applications, contributing to both theoretical advancements and real-world system optimization. Her research has been widely recognized and published in reputable international journals, reflecting her strong academic influence in the fields of automation, control science, and applied mathematics. According to Scopus, she has authored 66 documents, received 578 citations from 432 documents, and holds an h-index of 15, underscoring her impactful contributions to scientific research. Her publications are also well-cited on Google Scholar, confirming her broad recognition in the global academic community.

Publication Profile

Scopus

Featured Publications

  • He, S., Sun, L., & Yang, R. (2025). Finite-time H∞ control of doubly fed induction generator. Asian Journal of Control.

  • He, S., Sun, L., & Yang, R. (2025). Passive control of a set of nonlinear singular Hamiltonian systems. Journal of the Franklin Institute.

  • He, S., Sun, L., & Yang, R. (2025). Adaptive H∞ finite-time boundedness control for a set of nonlinear singular Hamiltonian systems. Control Theory and Technology.

  • Zhang, Z., Sun, L., & Yang, R. (2025). Input-output finite-time stabilization for a class of nonlinear descriptor Hamiltonian systems with actuator saturation. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering.

  • Zhang, Z., & Sun, L. (2025). Input-output finite-time adaptive control of nonlinear descriptor Hamiltonian systems. Fourth International Conference on Advanced Manufacturing.

 

Mr. Fei Dai | optimal control | Best Researcher Award

Mr. Fei Dai | optimal control | Best Researcher Award

Mr. Fei Dai , lecturer, Xi’an Technological University, China.

Fei Dai is a dedicated academic and researcher specializing in applied mathematics, computer systems, and mechatronic engineering. Born in China, he has developed a strong career foundation through his affiliation with Xi’an Technological University. Starting as an Assistant Researcher in 2004, he has since risen to the role of Lecturer, contributing significantly to the fields of advanced mathematics and artificial intelligence. His research primarily focuses on control systems and optimization algorithms. Fei Dai’s work integrates mathematical theory with engineering application, aiming to solve complex industrial problems. His recent publications highlight his expertise in meta-heuristic algorithms and control system design.

Publication Profile

ORCID

🎓 Education Background

Fei Dai began his academic journey with a B.S. degree in Applied Mathematics from Hunan University, Changsha, China, in 2004. He pursued his master’s degree in Computer System Structure at Xi’an Technological University, completing it in 2010. Driven by an ongoing passion for research and innovation, he is currently a Ph.D. candidate in Mechatronic Engineering at the same university. His educational path demonstrates a steady progression from mathematical theory toward interdisciplinary applications in systems and automation. This strong academic foundation supports his research in process control and optimization, reflecting a blend of computational and engineering skills tailored for modern technological challenges.

💼 Professional Experience

Fei Dai began his professional career in 2004 as an Assistant Researcher at Xi’an Technological University, focusing on advanced mathematics. In 2011, he was promoted to Lecturer, where he teaches advanced mathematics and artificial intelligence. Over the years, he has accumulated a wealth of teaching and research experience, particularly in systems control and computational algorithms. His dual role as an educator and researcher has enabled him to guide numerous student projects and collaborate on engineering innovations. His consistent affiliation with Xi’an Technological University reflects his dedication to academic excellence and his contributions to building the institution’s research profile.

🏆 Awards and Honors

While specific awards and honors for Fei Dai have not been publicly listed, his academic trajectory and publications in reputable journals such as IEEE Access and Electronics signify recognition within the scientific community. Being invited to publish in these peer-reviewed platforms underscores his credibility and expertise. Furthermore, his ongoing Ph.D. research and involvement in cutting-edge topics like hybrid optimization algorithms for control systems indicate strong professional standing. As his scholarly contributions continue to gain traction and citations, future academic awards and honors are expected to follow, reinforcing his role as an emerging thought leader in computational and control engineering.

🔬 Research Focus

Fei Dai’s research revolves around process control and meta-heuristic algorithms, particularly in their application to automation and intelligent systems. His recent studies focus on designing advanced fractional-order controllers using hybrid optimization techniques, including the Whale Optimization Algorithm and Black-Winged Kite Algorithm. By integrating mathematical modeling with practical engineering solutions, he aims to improve system efficiency, robustness, and responsiveness. His work contributes to advancements in Automatic Voltage Regulation (AVR) systems, a critical component in electrical engineering. Dai’s research is both theoretical and application-oriented, bridging the gap between algorithm development and real-world system control challenges.

✅ Conclusion

Fei Dai exemplifies a committed scholar whose expertise in mathematics, computer systems, and mechatronic engineering supports significant advancements in control systems. With a continuous academic presence at Xi’an Technological University, he combines research excellence with educational impact. His publications and ongoing Ph.D. work highlight a focus on hybrid optimization and advanced control strategies, positioning him as a rising contributor in his field. As his work gains more visibility and citations, his influence in computational intelligence and engineering control is poised to expand further. Fei Dai remains a noteworthy figure in the integration of mathematics and intelligent systems design.

📚 Publications Top Notes

  1. Optimal Design of a Fractional Order PIDD2 Controller for an AVR System Using Hybrid Black-Winged Kite Algorithm

    • Journal: Electronics

    • Published Year: 2025

    • Cited by: 3 articles

  2. Optimal Design of a PIDD2 Controller for an AVR System Using Hybrid Whale Optimization Algorithm

    • Journal: IEEE Access

    • Published Year: 2024

    • Cited by: 7 articles