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.

👨‍🎓 Bio Summary:

Dr. Andrey Polyakov is a prominent researcher in the field of control and estimation. He holds a Ph.D. and HDR in control theory, with a focus on finite-time techniques. Dr. Polyakov’s work has been recognized globally, and he is ranked among the top 2% most cited researchers in Industrial Engineering & Automation. He has published extensively and holds a position as a Full-time Researcher at Inria Lille-Nord Europe, contributing to the Valse Team.

🎓 Education:

Andrey Polyakov received his Ph.D. in Control of neutral and unstable plants using relay delayed feedback control from Voronezh State University, Russia, in 2005. He also holds an HDR (Habilitation à diriger des recherches) entitled “Linear Geometric Homogeneity for Control and Estimation in a Finite Time” from The University of Lille, France, awarded in 2018.

🔍 Research Focus:

Dr. Polyakov’s research focuses on control and estimation, with a particular interest in finite-time techniques for both linear and nonlinear systems. His work delves into theoretical aspects as well as practical applications, aiming to advance the understanding and implementation of control strategies that operate within finite time horizons.

🏆 Honors & Awards:

Dr. Polyakov has received recognition for his contributions to the field, including being ranked among the top 2% most cited researchers in Industrial Engineering & Automation. His work has garnered attention for its impact and innovation, reflecting his dedication to excellence in research.

Professional Experience: 💼

With a rich professional history, Dr. Polyakov has held various positions in academia and research institutions. He has served as a Full-time Researcher at Inria Lille-Nord Europe, where he contributes to the Valse Team. Prior to this, he held positions at the Institute of Control Sciences (Russian Academy of Sciences), Voronezh State University (Russia), and CINVESTAV-IPN (Mexico), among others.

📚 Top Noted Publications :

“Nonlinear feedback design for fixed-time stabilization of linear control systems,” published in IEEE Transactions on Automatic Control in 2012, which has been cited 3102 times.

“Finite-time and fixed-time stabilization: Implicit Lyapunov function approach,” published in Automatica in 2015, with 753 citations.

“Stability notions and Lyapunov functions for sliding mode control systems,” published in the Journal of The Franklin Institute in 2014, cited 403 times.

“Reaching time estimation for ‘super-twisting’ second order sliding mode controller via Lyapunov function designing,” published in IEEE Transactions on Automatic Control in 2009, with 295 citations.

“Leader-follower fixed-time consensus for multi-agent systems with unknown non-linear inherent dynamics,” published in IET Control Theory & Applications in 2015, cited 267 times

.Author Metrics 📊 :

Dr. Polyakov’s impact is reflected in his author metrics, with several of his papers receiving significant citation counts. His influential contributions have helped shape the discourse within the field of control and estimation, establishing him as a leading figure in his area of expertise.

📅 Research Timeline:

Throughout his career, Dr. Polyakov has been engaged in impactful research endeavors. From his early studies at Voronezh State University to his current role at Inria Lille-Nord Europe, he has consistently pursued excellence in both theoretical investigations and practical applications, contributing to advancements in control theory and related fields.