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Distributed Average Tracking and Continuous-time Optimization in Multi-agent Networks

来源:空间科学与技术学院          点击:
报告人 任伟 时间 10月15日16:00
地点 南校区G楼240 报告时间

讲座名称Distributed Average Tracking and Continuous-time Optimization in Multi-agent Networks

讲座时间:2019-10-15 16:00:00

讲座地点:南校区G楼240

讲座人:任伟


讲座人介绍:

任伟,美国加州大学河滨分校(University of California, Riverside)教授,IEEE Fellow。2004年在美国杨百翰大学(Brigham Young University)获得博士学位。他的主要研究方向是多智能体系统的分布式协调控制,在Springer出版了两本专著。任伟教授于2017年获得IEEE 控制系统协会Antonio Ruberti Young Researcher Prize,于2008年获得美国国家科学基金会杰出青年教授/杰出学术发展奖。


讲座内容:

In this talk, we introduce a distributed average tracking problem and present distributed discontinuous control algorithms to solve the problem. The idea of distributed average tracking is that multiple agents track the average of multiple time-varying reference signals in a distributed manner based only on local information and local communication with adjacent neighbors. We study the cases where the time-varying reference signals have bounded derivatives and accelerations. We also use the distributed average tracking idea to solve a continuous-time distributed convex optimization problem. Tools from nonsmooth analysis are used to analyze the stability of the systems. Simulation and experimental results are presented to show the validity of the theoretical results.


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