Dr. Yukun Shi
Lecturer
Email: yukunshi@buct.edu.cn
Background
Yukun Shi received the the Ph.D. degree in control science and engineering from Beijing University of Chemical Technology in 2022. He also have a one-year visit at the University of Victoria, Canada in 2021. He is currently a lecturer at Beijing University of Chemical Technology. His research interests include multi-agent systems, control system network attacks, and observer design.
Areas of Research of Expertise
- Multi-agent system, Control system network attack, Secure state estimation, Resilience analysis 
- Model Predictive Control, Neural Network Modeling of Chemical Systems, Neural network control 
Teaching
Undergraduate Teaching
- Principles of Automatic Control. Spring semester. 
- Modern Control Theory. Autumn semester 
- Matlab Control System Simulation Technology.Spring semester.Research 
Funded Research Projects
- Fundamental Research Funds for the Central Universities (ZY2411) 
- National Science Fund of China (62303038) 
- China Postdoctoral Science Foundation (2023M740202) 
Five Representative Publications
- 1Y. Shi, W. He, L. Liang and Y. Wang, “Distributed Filter Under Homologous Sensor Attack and Its Application in GPS Meaconing Attack” IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2024.3418386. 
- YY. Shi, H. Ma, J. Tuo, and Y. Wang, “Event-triggered distributed secure state estimation for homologous sensor attacks,”ISA Transactions, vol 143, pp. 10-19, 2023. 
- YY. Shi, Y. Wang, and J. Tuo, “Distributed secure state estimation of multi-agent systems under homologous sensor attacks,” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 1, pp. 67–77, 2023. 
- YY. Shi and Y. Wang, “Online secure state estimation of multiagent systems using average consensus,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 5, pp. 3174–3186, 2022. 
- YY. Shi, C. Liu, and Y. Wang, “Secure state estimation of multiagent systems with homologous attacks using average consensus,” IEEE Transactions on Control of Network Systems, vol. 8, no. 3, pp. 1293–1303, 2021. 
