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Distributed Control ofNetworked Multi-agent Systems: Algorithms and Applications

2016-08-05来源: 浏览次数:

1.讲座名称:

DistributedControl of Networked Multi-agent Systems: Algorithms and Applications

2.讲座时间:

 2016-08-08 16:00:00

3.讲座地点:

新科技楼(1012)报告厅

4.讲座人: 

Wei Ren, Professor

5.讲座人介绍:

任伟教授是美国加州大学河滨分校教授,IEEEFellow,中南大学长江学者讲座教授,Automatica, Systems& Control Letters等国际顶级期刊Associateeditor,研究方向为多智能体系统,主要研究多自主智能体分布式协调控制理论及应用,重点研究基于局部信息交互实现群组行为的涌现。已出版专著2部,发表SCI期刊论文68篇,发表会议文章88篇,对多智能体系统研究领域产生了非常重要影响。专著《多车辆系统协作控制的分布式一致性》(“distributedConsensus in Multi-vehicle cooperative control”)被认为是多智能体系统分布式控制领域的首部研究专著。据Google学术搜索的统计,任伟教授发表的文章总引用超过11500次。入选汤森路透高被引作者(ThomsonReuters(formerly ISI)Highly Cited Researcher);有10篇论文荣膺汤森路透高被引论文;发表在2005年5月IEEETransactions on Automatic Control的文章是多智能体系统分布控制领域的开创性工作,已被2007年2月汤姆森科技ESI认定为工程领域近期具有最高引用率的文章;2007年7月发表在Systemsand Control Letters的文章是该杂志自2009年以来引用次数最多的前十篇论文;2010年6月发表在InternationalJournal of Robust and Nonlinear Control的文章是该杂志自2009年以来引用次数最多的前十篇论文;2007年3月发表在IETControl Theory& Applications的文章荣膺2008年IEEESplore数据库十大具有最高下载率的文章之一。

6.讲座内容Abstract:

While autonomous agents that perform solo missions can yield significantbenefits, greater efficiency and operational capability will be realized fromteams of autonomous agents operating in a coordinated fashion. Potentialapplications for networked multiple autonomous agents include environmentalmonitoring, search and rescue, space-based interferometers, hazardous materialhandling, and combat, surveillance, and reconnaissance systems. Networkedmulti-agent systems place high demands on features such as low cost, highadaptivity and scalability, increased flexibility, great robustness, and easymaintenance. To meet these demands, the current trend is to design distributedcontrol algorithms that rely on only local interaction to achieve global groupbehavior.The purpose of thistalk is to overview our recent research in distributed control of networkedmulti-agent systems. Theoretical results on distributed leaderless consensuswith vehicle dynamics including first- and second-order linear dynamics, rigidbody attitude dynamics, and Euler-Lagrange dynamics, distributed single-leadercollective tracking with reduced interaction and partial measurements,distributed multi-leader containment control with local interaction, anddistributed average tracking with multiple time-varying reference signals.Application examples in multi-vehicle cooperative control including rendezvous,formation keeping, and cooperative herding for wheeled mobile robots, UAVformation flying, deep space spacecraft attitude alignment, and synchronizationof networked robotic arms will also be introduced.


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