He received the B.S. degree in applied mathematics from Hainan Normal University, Haikou, China, in 2013, and the M.S. degree in mathematics from China University of Mining and Technology, Xuzhou, China, in 2015. He is currently working toward the Ph.D. degree with Fudan University, Shanghai, China.

His current research interests include synchronization of complex networks and control of networks.

Publication

2019

1. Wu, J., Yu, X. H., & Li, X. (2019). Global Frequency Synchronization of Complex Power Networks Via Coordinating Switching Control. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(8), 3123-3133.
2. Wu, J. & Li, X. (2019). Finite-Time and Fixed-Time Synchronization of Kuramoto-Oscillator Network With Multiplex Control. IEEE Transactions on Control of Network Systems, 6(2), 863-873.

2018

1. Wu, J. & Li, X. Finite-Time Adaptive Synchronization of Drive-Response Two-Layer Networks, 57th IEEE Conference on Decision and Control (CDC), pp. 1415-1420, December, 2018.

Jing Li received the B.S degree in electrical engineering from Shandong University in 2015. He is a master student at CAN lab, department of electronic engineering, Fudan University. His major research interest includes social network analysis and network modeling.

Hui-Yan Li received the B.S degree in Electrical Engineering and Automation from Tianjin University, Tianjin, China, in 2016, and received the M.S degree with the Adaptive Networks and Control Lab (CAN Lab) in Electronic Engineering of Fudan University, Shanghai, China, in summer 2019.

She is currently a PhD student at CAN lab, Department of Electronic Engineering, Fudan University. Her major research interest includes cooperative control of (heterogeneous) multi-agent systems, model predictive control, etc.

Publication

 Li, H., & Li, X. (2019). Distributed Consensus of Heterogeneous Linear Time-varying Systems on UAVs-USVs Coordination. IEEE Transactions on Circuits and Systems II: Express Briefs.

Li, H., Yuan, Q., & Li, X. (2017). Ground-target tracking UAVs system via nonlinear distributed model predictive control. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 5819-5824). IEEE.

Mr.Zhou has received the B.E. degree in electronic information science and technology from School of Information Science and Technology, Fudan University, Shanghai, China. He is currently studying at Fudan University with the Master degree in Electronic Information and Engineering. His research field is the theory and technology of network science.

Mr. Zhan has received the B.E. degree in electronic information engineering from the Faculty of Electronics and Information, Northwestern Polytechnical University, Shaanxi, China. He is currently studying at Fudan University with the Master degree in Circuits and Systems. His area of interest in research is the social networking mining.

Miss. Hao received the B.S. degree in department of electronic engineering, from Fudan University, Shanghai, China, where she is currently working toward the Master degree.