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

講座時(shí)間：2019-10-15 16:00:00

講座地點(diǎn)：南校區(qū)G樓240

講座人：任偉

講座人介紹：

任偉，美國(guó)加州大學(xué)河濱分校（University of California, Riverside）教授，IEEE Fellow。2004年在美國(guó)楊百翰大學(xué)（Brigham Young University）獲得博士學(xué)位。他的主要研究方向是多智能體系統(tǒng)的分布式協(xié)調(diào)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(tǒng)協(xié)會(huì)Antonio Ruberti Young Researcher Prize，于2008年獲得美國(guó)國(guó)家科學(xué)基金會(huì)杰出青年教授/杰出學(xué)術(shù)發(fā)展獎(jiǎng)。

講座內(nèi)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(xué)與技術(shù)學(xué)院