题目：Distributed coordination control of multi-agent systems under intermittent sampling and communication
报告人：韩清龙
地点：2号学院楼2202-2203
时间：2025年5月21日15:00
报告人简介
韩清龙教授现任澳大利亚墨尔本斯威本科技大学科研质量副校长、杰出教授。他曾于澳大利亚格里菲斯大学和中央昆士兰大学担任多个学术及管理职务。其研究领域涵盖网络化控制系统、多智能体系统、时滞系统、智能电网、无人水面艇及神经网络等。
韩教授荣获2024年IEEE工业电子学会最高成就奖——Dr.-Ing. Eugene Mittelmann成就奖、2024年中国自动化学会科学技术成就奖（自动化/信息/智能科学领域最高成就奖）、2021年诺伯特·维纳奖（系统科学与工程及控制论领域最高奖项）以及2021年澳大利亚工程师学会电气学院最高荣誉M. A. Sargent奖章。他于2019年、2020年和2022年三度获得IEEE Systems, Man, and Cybernetics学会Andrew P. Sage最佳汇刊论文奖，2020年同时斩获IEEE/CAA Journal of Automatica Sinica诺伯特·维纳综述奖和IEEE Transactions on Industrial Informatics杰出论文奖。
韩教授同时是欧洲科学院（Academia Europaea）院士，国际自动控制联合会会士（FIFAC）、电气与电子工程师学会会士（FIEEE）、澳大利亚工程师学会荣誉会士（HonFIEAust）及中国自动化学会会士（FCAA）。入选科睿唯安工程学与计算机科学双领域高被引科学家。曾任IEEE工业电子学会理事、会士委员会成员、出版委员会成员、网络化控制系统及应用技术委员会主席，并担任IEEE Transactions on Industrial Informatics.联合主编。现任亚洲控制协会（ACA）候任主席、执行董事会成员及指导委员会成员，中国自动化学会副理事长，并担任IEEE/CAA Journal of Automatica Sinica主编。
报告摘要
Sampling and communication are both crucial for coordination in multi-agent systems (MASs), with sampling capturing raw data from the environment for control decision making, and communication ensuring the data is shared effectively for synchronized and informed control decisions across agents. However, practical MASs often operate in environments where continuous and synchronous data samplings and exchanges are impractical, necessitating strategies that can handle intermittent sampling and communication constraints. This Keynote Speech will provide a comprehensive survey of recent advances in distributed coordination control of MASs under intermittent sampling and communication, focusing on both foundational principles and state-of-the-art techniques. After introducing fundamentals, such as communication topologies, agent dynamics, control laws, and typical coordination objectives, the distinctions between sampling and communication are elaborated, exploring deterministic versus random, synchronous versus asynchronous, and instantaneous versus sequential scenarios. A detailed review of emerging trends and techniques is then presented, covering time-triggered, event-triggered, communication-protocol-based, and denial-of-service-resilient coordination control. These techniques are analyzed across various attack models, including those based on data loss, sampled data, time constraints, and topology switching.