报告摘要： Multiagent systems may be generically defined as a group of dynamical systems in which certain emergent behaviors are exhibited through the local interaction among group members that individually have the capability of self-operating. Multiagent systems are often observed in nature, such as fish schooling, bird flocking, biochemical reaction network, and synchronization of fireflies. Motivated by the efficiency, flexibility and robustness exhibited by natural multiagent systems, engineered multiagent systems have been developed and studied as seen in robotic networks, power grids, computer networks, and sensor networks. In particular, multiagent systems have found a wide range of potential applications in surveillance and reconnaissance, cooperative exploration for search and rescue missions, environmental sensing and monitoring, cooperative transportation, and congestion and flow control of networks. 

In this talk, we present design methods and stability analysis for distributed coordination control of multiagent systems. The developments are for general dynamical systems with complex system dynamics and time-varying sensing/communication topologies. The connectivity conditions on sensing/communication among agents are identified for achieving the desired coordination. Cooperative control protocols are designed for both linear agents and nonlinear agents. The results on optimal cooperative control design will also be presented and discussed. Simulation and experimental results on applications to multiple robots control will be provided to illustrate the effectiveness of the proposed cooperative controls.  

 

报告人简介： Dr. Jing Wang received his Ph.D. in control theory and control engineering from Central South University, China, in 1997. He was a Postdoctoral Research Fellow at the Institute of Computing Technology, Chinese Academy of Sciences, from 1997 to 1999, and at Department of Electrical & Computer Engineering, National University of Singapore, from 1999 to 2002. From 2002 to 2007, He was with School of Electrical Engineering and Computer Science of University of Central Florida as a Research Assistant Professor. From 2007 to 2014, he was with the Department of Computer Engineering & Computer Science, Bethune-Cookman University, Florida, first as an Assistant Professor and then as a tenured Associate Professor. Since August 2014, he has been with the Department of Electrical and Computer Engineering, Bradley University, Peoria, Illinois. He is a Senior Member of IEEE. His current research interests include cooperative control and robotics, distributed optimization and learning, nonlinear systems and control theory, and control applications.