Title:  Data-driven control of networked systems

Abstract: With the development of information technologies, control systems are becoming more intelligent and interconnected. Accurate modeling of a control system has become increasingly difficult. For systems that are difficult to accurately model, traditional model-based control theories and methods are difficult to achieve ideal control performance. Data-driven control refers to the control method of designing controllers based solely on the offline/online data when the mathematical model and parameters of the control system are unknown. Data-driven control methods are independence of precise models and have broad applications. This talk will introduce the recent progress of data-driven control methods for networked systems, including data-driven event-triggered control and self-triggered control, data-driven resilient control under DoS attacks, data-driven self-triggered control based on trajectory prediction, data-driven robust LQG control, and data-driven output regulation of networked systems.

Biography: Jian Sun received the Bachelor’s degree from the Department of Automation and Electric Engineering at Jilin Institute of Technology, Changchun, China, in 2001, the Master’s degree from Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences (CAS), Changchun, China, in 2004, and the Ph.D. degree from Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, in 2007. He was a research fellow at Faculty of Advanced Technology, University of Glamorgan, UK, from April 2008 to October 2009. He was a postdoctoral research fellow at Beijing Institute of Technology, Beijing, China, from December 2007 to May 2010. In May 2010, he joined the School of Automation, Beijing Institute of Technology, where he has been a professor since 2013. His current research interests include autonomous unmanned systems, networked control systems, and data-driven control.
He is a member of the Editorial Boards of several journals including IEEE Transactions on Systems, Man & Cybernetics: System, Science China Information Sciences, Journal of Systems Science & Complexity and ACTA AUTOMATICA SINICA.