Each seminar highlights a different speaker who will discuss their latest research projects, cutting-edge technology or what is happening within certain technological industries. These industries include biomedical technologies or microsystems, assistive technologies, automation and intelligent systems, unmanned systems, advanced manufacturing and composite materials.
Title:
Distributed Control, Optimization and Learning of Multi-Agent Systems
Abstract:
A multi-agent system (MAS) is a group of intelligent agents that cooperate to solve problems beyond individual capabilities. MASs find applications in various fields such as autonomous driving, unmanned aerial vehicles, and smart grids. With the increase in the quantity and complexity of components, as well as the amount of data produced in a MAS system, a distributed scheme is more desirable for control, computation, and decision-making than the centralized one. In this talk, I will present some results on distributed control, optimization, and learning of MASs. For the control part, I will focus on the consensus problem of an MAS with intermittent communication and in the presence of actuator saturation. For the optimization part, I will introduce the codesign of control and optimization for MASs to reach optimal consensus. For the learning part, I will introduce a resilient distributed reinforcement learning algorithm to deal with adversarial attacks.
Bio:
Dr. Yijing Xie is currently an Assistant Professor in the Electrical Engineering Department at the University of Texas at Arlington. Previously, she was a Lillian Gilbreth Postdoctoral Fellow at Purdue University. She received her B.E. degree in Automation from Wuhan University, China, in 2014 and her Ph.D. degree in Control Science and Engineering from Shanghai Jiao Tong University, China, in 2020. She was a visiting Ph.D. student at the University of Virginia from 2017 to 2019. Her research focuses on control theory and applications, including multi-agent systems, event-triggered control, learning control, and their applications in cyber-physical systems and smart grids. She received the IEEE International Conference on Control & Automation Best Student Paper Award in 2017, the Lillian Gilbreth Postdoctoral Fellowship from Purdue Engineering in 2020 and the IEEE HKN Epsilon Mu Chapter the Outstanding Young Teaching Award.
Date:
April 19, 2024
Time:
12:00pm
Location:
UTARI Boardroom 125
7300 Jack Newell Blvd. S
Fort Worth, TX 76118