报告主题: Adaptive AutonomousSynchronization of Multi-Agent Systems

报 告 人：陈智勇 教授

报告时间：2024年10月29日 16:00-17:00

报告形式：线下报告会

报告地点：3号楼6楼多功能会议室

自动化科学与工程学院

2024年10月29日

报告摘要：

In this talk, we introduce a new type of synchronizationproblem for heterogeneous multi-agent systems,called autonomoussynchronization. Unlike traditional synchronization, neither the synchronizedagent dynamics nor the synchronized states are predefined. Instead, they emergeautonomously based on the agents' inherent properties and initial states,providing greater adaptability and improving synchronization efficiency. Toachieve this, we propose a novel control law and establish the necessary andsufficient conditions, particularly when the synchronized agent dynamics areunstable. Additionally, we present an adaptive, fully distributed controlscheme that operates without relying on network topology. This approach iswell-suited for tasks like deploying a swarm of drones over disaster areas toquickly locate survivors and assess damage. The exponentially divergingtrajectories allow the swarm to cover large areas rapidly, whilesynchronization ensures reliable cooperation among drones.

报告人简介：

   Zhiyong Chen received theB.E. degree in automation from the University of Science and Technology of China, Hefei, China, in 2000, and the M.Phil. and Ph.D. degrees in mechanicaland automation engineering from the Chinese University of Hong Kong, in 2002and 2005, respectively. He worked as a Research Associate at the University ofVirginia, Charlottesville, VA, USA from 2005 to 2006. In 2006, he joined theUniversity of Newcastle, Callaghan, NSW, Australia, where he is currently aProfessor. He was also a Changjiang Chair Professor with Central SouthUniversity, Changsha, China. His research interests include nonlinear systemsand control, networked systems, and reinforcement learning. Dr. Chen is/was anAssociate Editor of Automatica, IEEE Transactions on Automatic Control, IEEETransactions on Neural Networks and Learning Systems, and IEEE Transactions onCybernetics.