Event Triggered Consensus in Multi-Agent Systems

by Prof. Tongwen Chen, Electrical and Computer Engineering, University of Alberta, Canada

 :  02 Aug 2013 (Fri)
 :  11:00am to 12:00noon
Venue  :  Rm 4504 (lift 25/26), Academic Complex, HKUST

Multi-agent systems find wide applications in areas such as wireless sensor networks, autonomous mobile robots, and more generally, networked dynamic systems. A multi-agent system consists of multiple agents with individual dynamics, a communication network topology, often modeled by a directed/undirected but connected graph, and a distributive control protocol, all working cooperatively for a common goal, typically achieving consensus among the group.  In this talk, we focus on an average consensus problem for multiple integrators over a fixed or switched communication topology. Sampled-data communication and control strategies are used, and event triggering conditions are identified, under which the average consensus problem is solvable. The event conditions are discrete and distributed in the sense that only neighboring information and local computation at discrete sampling instants are implemented.  A few examples are studied in detail to demonstrate the effectiveness and advantages of the proposed methods.


Tongwen Chen is presently a Professor of Electrical and Computer Engineering at the University of Alberta, Edmonton, Canada. He received the BEng degree in Automation and Instrumentation from Tsinghua University (Beijing) in 1984, and the MASc and PhD degrees in Electrical Engineering from the University of Toronto in 1988 and 1991, respectively. His research interests include computer and network based control systems, process safety and alarm systems, and their applications to the process and power industries. He has served as an Associate Editor for several international journals, including IEEE Transactions on Automatic Control, Automatica, and Systems and Control Letters. He is a Fellow of IEEE.