Lecturer, at Shanxi Vocational University of Engineering Science and Technology, China.
Ren Xiaotao is a dedicated researcher and lecturer specializing in systems control and nonlinear systems identification. He is currently serving as a Lecturer at the School of Equipment Engineering, Shanxi Vocational University of Engineering Science and Technology, since 2024. Ren has developed significant expertise in the recursive identification of nonlinear systems, adaptive regulation, and event-triggered observations. His academic journey includes a Ph.D. from the University of Chinese Academy of Sciences, where he worked at the Key Laboratory of Systems and Control. Ren is passionate about advancing systems science through innovative approaches to control theory, and his work contributes to both theoretical and practical advancements in the field of systems and control. 🌟📚
Professional Profile
Scopus
ORCID
Education
Ren Xiaotao’s educational background is rooted in systems and control theory. He completed his Ph.D. at the University of Chinese Academy of Sciences (2018-2024) in the Key Laboratory of Systems and Control. His M.Sc. (2016-2018) also focused on systems and control within the same laboratory, where he began his research in nonlinear system identification. Ren’s academic journey began with a B.Sc. from North China Electric Power University (2012-2016), where he gained foundational knowledge in electrical engineering. His robust education prepared him for an academic career, and his doctoral research has led to substantial contributions to the field of systems science and control. 🎓🔬
Experience
Ren Xiaotao’s professional experience includes both academic and research positions. He is currently a Lecturer at the School of Equipment Engineering at Shanxi Vocational University of Engineering Science and Technology, a position he has held since 2024. Prior to this, Ren’s work as a Ph.D. student at the University of Chinese Academy of Sciences allowed him to contribute significantly to various research projects on nonlinear systems identification and adaptive regulation. He has worked on cutting-edge topics involving event-triggered observations, providing him with expertise in the intersection of control systems and data-driven methods. Ren’s experiences in both teaching and research have equipped him with a strong foundation in systems science. 🧑🏫🖥️
Research Interests
Ren Xiaotao’s research interests are primarily focused on systems control, nonlinear systems identification, and adaptive regulation. He is particularly interested in recursive identification of nonlinear nonparametric systems under event-triggered observations, exploring new methods for improving the efficiency and accuracy of system identification. Additionally, his work addresses adaptive regulation techniques for Hammerstein and Wiener systems, as well as the development of novel variable selection approaches for nonlinear systems. Ren aims to push the boundaries of control theory through his research, contributing to both academic knowledge and practical applications in industrial systems and automation. 📡🔧
Awards
Ren Xiaotao has received recognition for his contributions to the field of systems science. Notably, his work on adaptive regulation and system identification has garnered attention at international conferences such as the IEEE Conference on Decision and Control. His innovative approaches have positioned him as a promising young researcher in the field, and he is expected to continue receiving accolades for his work. Ren’s research has been consistently cited, further solidifying his impact on the field of nonlinear systems and control theory. 🏆🌍
Top Noted Publications
Ren Xiaotao has authored several influential publications in reputable journals and conferences. His work spans a range of topics in systems control, nonlinear system identification, and adaptive regulation. Notable publications include:
-
Ren, Xiaotao, Zhao, Wenxiao, Zhang, Han:
Title: Recursive identification of nonlinear nonparametric systems under event-triggered observations
Journal: Systems & Control Letters
Year: 2025
Volume: 196
Article Number: 106013
Link: (Not provided)
-
Ren, Xiaotao, Zhao, Wenxiao, Gao, Jinwu:
Title: Adaptive Regulation for Hammerstein and Wiener Systems with Event-Triggered Observations
Journal: Journal of Systems Science & Complexity
Year: 2023
Volume: 36, Issue 5
Pages: 1878-1904
Link: (Not provided)
-
Ren, Xiaotao, Zhao, Wenxiao, Gao, Jinwu:
Title: New Approach to Variable Selection for Nonparametric Nonlinear Systems
Conference: 62nd IEEE Conference on Decision and Control
Location: Marina Bay Sands, Singapore
Month/Year: December 2023
Link: (Not provided)
Conclusion
Ren, Xiaotao is a highly qualified candidate for the Best Researcher Award, based on his strong educational foundation, innovative research contributions, and engagement with the academic community. His research in systems control, particularly in nonlinear systems and event-triggered observations, is highly relevant to current advancements in control theory and its applications. While there is room for improvement in expanding his research collaborations and exploring a wider array of topics, his current achievements make him a deserving candidate for this prestigious award.