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Hybrid Flocking Control of Multi-Agent Systems

日期:2023-05-30                   來源:                   作者:               關(guān)注:次

報告題目:Hybrid Flocking Control of Multi-Agent Systems

報告人:Xinzhi Liu

報告時間: 2023年5月29日上午9:30-10:30

報告地點:多學(xué)科交叉創(chuàng)新大樓1020


報告內(nèi)容:As a fascinating collective behavior, flocking is observed in a variety of biological species such as beasts, birds, fish, bees, and ants. In such situations, each individual acts as an autonomous agent and interacts only with its nearby neighbors, while the entire group displays coordinated behavior and can accomplish very complex tasks. Inspired by such collective intelligence of animal groups in nature, there has been an increased research interest in flocking control of multi-agent systems around the world in recent years. This talk discusses the flocking control problem of multi-agent systems with multi-group tracking various virtual leaders. Hybrid protocols are proposed to take into consideration of continuous communications among agents and intermittent information exchanges at a sequence of discrete times. It is shown, by employing results from graph theory and dynamical systems, that agents may be divided into multiple subgroups to follow different leaders while maintaining desired sub-formation configurations as well as collision-free motions.


報告人簡介:劉新芝教授現(xiàn)任加拿大滑鐵盧大學(xué)應(yīng)用數(shù)學(xué)系教授。1982 年在山東師范大學(xué)數(shù)學(xué)系獲學(xué)士學(xué)位。1988年在美國德克薩斯大學(xué)阿靈頓分校獲博士學(xué)位。1988年至1990年在加拿大阿爾伯塔大學(xué)作博士后。1990年受聘于滑鐵盧大學(xué)為助理教授,并于1994年被聘為該校終身教授。劉教授的研究方向包括: 混合動力系統(tǒng),非線性系統(tǒng)控制及穩(wěn)定性,復(fù)雜網(wǎng)絡(luò)的同步,通訊網(wǎng)絡(luò)模型,傳染病模型等。已發(fā)表學(xué)術(shù)論文400余篇,學(xué)術(shù)專著6部, 學(xué)術(shù)編著20余部。



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