学术报告第201652期

报告题目: Network Control and its Applications

报告时间：12.22 上午9点

报告地点：南一楼西203室

邀请方：“多谱信息处理技术”国家级重点实验室

Abstract: Network system is a fascinating research field that is evolving rapidly across many domains. The goal in networked control of multi-agent systems is to derive desirable collective behavior through distributed control algorithms based on local interaction with neighboring agents.

In this talk, I will outline my research on distributed control and optimization for network systems with applications in power systems. In the first part of this talk, I will present a novel distributed algorithm for coordinating distributed energy resources (DERs) over directed switching communication networks with time-varying delays. In the second part of this talk, I will show a distributed algorithm for discovering the system overload for networks with arbitrarily large time delays in load shedding application. The third part of this talk will focus on synchronization of network systems while the forth part will focus on dynamical behaviors of network systems. The talk will conclude with discussion of future opportunities for network systems with applications in power systems and transportation systems. 

Bio: Tao Yang received the B.S. degree in Computer Science from Harbin University of Science and Technology in 2003, the M.S. degree with distinction in Control Engineering from City University, London in 2004, and the Ph.D. degree in Electrical Engineering from Washington State University in 2012. He is currently an Assistant Professor at the Department of Electrical Engineering, University of North Texas. Prior to this position, he was a Scientist/Engineer II with Energy & Environmental Directorate, Pacific Northwest National Laboratory. From August 2012 to July 2014, he was an ACCESS Post-Doctoral Researcher with the ACCESS Linnaeus Centre, Royal Institute of Technology, Sweden. His research interests include distributed control and optimization in power systems, Cyber Physical Systems, networked control systems, and multi-agent systems.