[WiE Webinar] Distributed Secure Cooperative Control, Optimization, and Learning
Thursday 14 November 2024 at 8:00 PM CST, 1:00 PM CET, 7:00 AM EST
By Wangli He (East China University of Science and Technology, Shanghai, China)
Joint Webinar with IEEE Women in IES
Register now using the link below:
https://attendee.gotowebinar.com/register/4935455251698636119
Abstract:
Cooperative collective behaviors in networks of autonomous agents have attracted considerable attention due to their wide-ranging applications across disciplines such as biology, physics, and engineering. The rapid development of large-scale networks and big data has led to the widespread application of distributed control, optimization and learning that rely on local information exchange. However, network-enabled information sharing and open setting of the network medium give rise to several security and privacy issues for practical MASs, thereby rendering resilient and privacy-preserving distributed cooperative control and optimization strategies and of both theoretical and practical significance. Existing schemes that rely on global information like network topology limit scalability in dynamic, large-scale systems. Furthermore, advances in information technology make multi-agent reinforcement learning a promising approach for complex tasks in high-dimensional, dynamic environments. An urgent issue that requires in-depth exploration is how to employ multi-agent reinforcement learning to solve scheduling and decision-making problems in electricity-hydrogen coupled integrated energy systems. This talk introduces recent results in distributed secure cooperative control, optimization, and decision-making, highlighting their potential applications in unmanned systems, electric-hydrogen integrated energy systems, and other practical issues.
Presenter’s bio:
Wangli He received the Ph.D. degree from Southeast University, Nanjing, China, in 2010. From 2010 to 2017, she held several visiting positions with Central Queensland University, The University of Hong Kong, City University of Hong Kong, Potsdam Institute for Climate Research Institute, and Tokyo Metropolitan University. Her current research interests include distributed coordination control, optimization and games, networked multi-agent systems, autonomous intelligent unmanned systems and electricity-hydrogen integrated energy systems.
Dr. He was the Chair of the Technical Committee on Networked-based Control Systems and Applications of IES from 2018 to 2019. She has published more than 100 fully-referred journal articles and fully-referred conference papers including Automatica and the most prestigious IEEE Transactions. She served as an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems. She is currently an Associate Editor of several international journals including the IEEE Transactions on Industrial Informatics and the IEEE Journal of Emerging and Selected Topics in Industrial Electronics.