简介: |
讲座内容： 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 the first part of this talk, two bounded control protocols (proportional-integral protocol and integral protocol) are introduced to solve the global optimal consensus problem for discrete-time multi-agent systems over fixed connected undirected communication networks. In the second part of the talk, a distributed algorithm is introduced to solve the optimal coordination problem for distributed energy resources (DERs) over time-varying directed communication networks. The algorithm is applicable if the communication network is uniformly jointly strongly connected, which is a mild condition on the connectivity of communication topologies.
主讲人简介：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. Between August 2012 and August 2014, he was an ACCESS Post-Doctoral Researcher with the ACCESS Linnaeus Centre, Royal Institute of Technology (KTH), Sweden. He is currently an Assistant Professor at the Department of Electrical Engineering, University of North Texas (UNT). Prior to joining the UNT, he was a Scientist & Engineer II with the Energy & Environmental Directorate, Pacific Northwest National Laboratory. His research interests include distributed control and optimization in power systems, Cyber Physical Systems, networked control systems, and multi-agent systems |
