内容简介：

In this talk we present some novel distributed event-triggered algorithms for achieving multi-agent consensus with fully Zeno-free triggerings for all the agents. Each agent updates its own control input at its own triggering instants by using local measurements in terms of relative states with respect to neighboring agents, and such local measurements can be done in a local coordinate frame. For all agents, a positive Lp signal function is included in the event detector functions, which ensures a week Zeno-free triggering for all agents. We also show that the proposed event-based consensus algorithms guarantee less triggering events in a bounded time interval compared to the conventional algorithm without Lp signals. The proposed event-based consensus seeking algorithm will be extended to multi-agent systems modelled by general linear dynamics, and networked agents interacting in directed graphs. 

报告人简介：

Zhiyong Sun received the Ph.D. from The Australian National University (ANU), Canberra ACT, Australia in February 2017. He was a Research Fellow/Lecturer with the Research School of Engineering, ANU, from 2017 to 2018. In June 2018, he joined the Department of Automatic Control, Lund University, Lund, Sweden, as a postdoctoral researcher. He was a visiting student/researcher of several universities, including Yale University, Wuerzburg University, Purdue University, University of Groningen, GIST (South Korean), ENAC (France), etc. 

He received the Australian Prime Minister’s Endeavor Postgraduate Award in 2013 from the Australian Government, the Outstanding Oversea Student Award from the Chinese Government in 2016, and the Springer Thesis Prize in 2017. He was a finalist/winner of Best Student Paper (BSP) Award in several conferences, including a BSP finalist award in the 54th IEEE Conference on Decision and Control (CDC 2015) at Osaka, Japan.