Special Session
SS 02 - Modelling, Estimation and Control of Complex System
SS 02 - Modelling, Estimation and Control of Complex System
Organizers
Jun Huang, Soochow University, China
and
Yueyuan Zhang, Soochow University, China
and
Yan Song, University of Shanghai for Science and Technology, China
Session Focus
With the rapid development of artificial intelligence and the improvement of the complexity of system structure, the next generation industrial manufacturing brings us a series of challenges to break though bottleneck of high-end technology. In recent years, the modelling, machine learning, estimation, and control problems of complex industrial objects have received a great deal of attention from researchers in a variety of research communities. The purpose of this special session is to solicit recent achievements of structural design, data analysis and control theory of complex engineering systems so as to further improve and develop the theoretical methods of complex industrial system modelling, estimation, prognostics, and optimization, and promote the development level of informatization and automation of industrial systems.
Session Topics
- Mathematical modelling and control for stochastic systems
- Secure state estimation and optimization for industrial control systems
- Fault detection and fault tolerance for industrial control systems
- Advanced control for industrial control systems
- Distributed control and optimization for multi-agent systems
- Latent factor learning for large-scale networks with missing information
Bio of the organizers
Jun Huang (IEEE Member) was born in Anhui Province, China, in 1984. He obtained his M.S. degree in Mathematics from East China Normal University in 2008 and his Ph.D. degree in Automation from Shanghai Jiao Tong University in 2012. He is now an associate professor in the School of Mechanical and Electrical Engineering, Soochow University. His current research interests include multi-agent systems, the theory of interval observer design, nonlinear control, adaptive control.
Yueyuan Zhang received the PhD. degree in control science and engineering from Jiangnan University, Wuxi, China, in 2020. From 2016 to 2018, she was a visiting student with the School of Electrical and Electronic Engineering, University of Adelaide, SA, Australia. Currently, she is now in Soochow University. Her research interest covers stochastic semi-Markov jump systems, control theory and application, model predictive control, event-triggered control scheme, robust control, etc.
Yan Song (IEEE Member) received the Ph.D. degree in control theory and control engineering from Shanghai Jiao Tong University in 2012. She is currently a professor with the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. From Dec. 2016 to Dec. 2017, she was a visiting scholar with the Department of Computer Science, Brunel University London, Uxbridge, UK. Her research interests include model predictive control, machine learning and data analysis. She has published over 50 papers in refereed international journals. She is a very active reviewer for many international journals.