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

來源:空間科學與技術學院          點擊:
報告人 任偉 時間 10月15日16:00
地點 南校區G樓240 報告時間

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

講座時間:2019-10-15 16:00:00

講座地點:南校區G樓240

講座人:任偉


講座人介紹:

任偉,美國加州大學河濱分校(University of California, Riverside)教授,IEEE Fellow。2004年在美國楊百翰大學(Brigham Young University)獲得博士學位。他的主要研究方向是多智能體系統的分布式協調控制,在Springer出版了兩本專著。任偉教授于2017年獲得IEEE 控制系統協會Antonio Ruberti Young Researcher Prize,于2008年獲得美國國家科學基金會杰出青年教授/杰出學術發展獎。


講座內容:

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.


主辦單位:空間科學與技術學院

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