Dr. Yuanshan Liu | control | Best Researcher Award.
Nanjing Agricultural University,China
Professional Profiles:
👨🎓 Bio Summary:
Dr. Yuanshan Liu is a dedicated researcher with a strong background in control theory and engineering. His innovative work in multi-agent systems and network control, combined with his academic achievements and professional contributions, make him a significant figure in his field. His research continues to push the boundaries of what is possible in data-driven control and multi-agent system coordination.
🎓 Education:
Dr. Yuanshan Liu was born in Shandong, China. He earned his Bachelor of Science degree in 2016 and his Master of Science degree in 2020, both from Ludong University, Yantai, China. Currently, he is a doctoral candidate at Nanjing Agricultural University, specializing in control theory and engineering.
🔍 Research Focus:
Dr. Liu’s research primarily revolves around multi-agent systems and network control for nonlinear systems. His work emphasizes data-driven control methods, discrete systems, and innovative techniques for improving multi-agent system coordination and efficiency.
🏆 Honors & Awards:
While specific honors and awards are not listed, Dr. Liu’s work has been recognized through publications in prestigious journals and patents, indicating his contributions to the field of control theory and engineering.
Professional Experience: 💼
Dr. Liu’s professional experience includes significant research projects and published works. He has developed expertise in policy gradient and Actor-Critic reinforcement learning techniques for multi-agent systems. His contributions have enhanced the adaptability and consistency of agents within these systems.
📚 Top Noted Publications :
Title: Distributed finite-time integral sliding-mode control for multi-agent systems with multiple disturbances based on nonlinear disturbance observers
Authors: Y. Yang, F. Liu, H. Yang, Y. Li, Y. Liu
Citation Index: 32
Year of Publication: 2021
Title: Output feedback stabilization for networked switched planar systems with aperiodic sampled data under an event-triggered mechanism
Authors: Y. Liu, Y. Xia, X. Lin, C.C. Chen
Citation Index: 2
Year of Publication: 2023
Title: Data-driven output consensus for a class of discrete-time multiagent systems by reinforcement learning techniques
Authors: Y. Liu, Y. Xia, J. Huang
Year of Publication: 2024
Title: Output feedback stabilization of switched planar systems with incomplete information
Authors: X. Lin, Y. Liu, J.H. Park
Year of Publication: 2024
Author Metrics 📊 :
Dr. Liu’s work has been cited in various academic journals, reflecting his impact on the field. His Google Scholar profile provides a comprehensive view of his citations and h-index.
📅 Research Timeline:
2016: Completed B.S. degree from Ludong University.
2020: Completed M.S. degree from Ludong University.
2022: Published a patent on adaptive balance control for humanoid robots.
2023: Published a paper in Nonlinear Dynamics on networked switched planar systems.
2024: Published a paper in Signal Processing on data-driven output consensus for multi-agent systems and authored a book on optimization control for multi-agent systems.