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绣山讲坛第408讲-Collaborative Control for Multi-agent Systems

作者:   已浏览:25次 更新日期:2025-11-18

报告题目Collaborative Control for Multi-agent Systems

报告时间:2025年11月27日晚上17:00-19:00。

报告地点:线上的腾讯会议形式#腾讯会议:802-572-803

主讲人:Peng Shi, The University of Adelaide

背景简介:

Peng Shi目前是澳大利亚阿德莱德大学电气与电子工程U体育网 教授、先进无人系统实验室主任、欧洲科U体育网 外籍院士、澳大利亚工程院院士及IEEE Transactions on Cybernetics主编等,主要从事系统和控制理论在自主和机器人系统、网络物理系统和多智能体系统中的应用研究,是控制科学与工程领域享有盛誉的专家,拥有丰富的学术经验和卓越的研究成果。

摘要:

The key features of Multi-agent Systems (MAS) are communication, coordination, and collaboration, by which the agents can achieve a common (and possibly difficult) goal in a more effective and efficient way. Three main topics within the realm of MAS are consensus, flocking and formation control. Cooperating processes often require agents to reach a consensus, which is the fundamental problem in MAS. Flocking (or swarming) is a self-organizing behavior originated from small-size animals with lower intelligence, which enables the emergence of swarm intelligence to improve the whole system survivability and competitiveness. Formation control generally aims to drive the agents to achieve a desired formation, scalable and/or changeable. In this talk, modeling analysis and design of a variety of distributed schemes for consensus and formation control are introduced. Simulations and experimental examples are provided to demonstrate the potential of the proposed new design techniques.

主讲人简介:

Peng Shi is now a Distinguished Professor at the School of Electrical and Mechanical Engineering, and the Director of Advanced Unmanned Systems Laboratory, and Cyber-Physical-Human Systems Laboratory, at The University of Adelaide, Australia. His research interests include systems and control theory and applications to autonomous and robotic systems, cyber-physical systems, and multi-agent systems. His accolades include the Lotfi Zadeh Pioneer Award (2025), Nobert Wiener Outstanding Research Award (2024), and the Meritorious Service Award (2023) all from IEEE SMC Society; the Annual Scientific Award (2024), and Ramesh Agarwal Life-time Achievement Award (2023) all from the International Engineering and Technology Institute; the MA Sargent Medal from Engineers Australia (2022); the Honor of Life-time Achiever Leaderboard and Field Leader from The AUSTRALIAN Research Review (2019-2024); and the Recognition of Highly Cited Researcher from Clarivate (2014-2025). Currently he serves as the Editor-in-Chief of IEEE Transactions on Cybernetics, a Senior Editor of IEEE Access, and an associate editor of Automatica, and IEEE Transactions on Artificial Intelligence. His professional services also include as the President of International Academy for Systems and Cybernetic Sciences (2021-2024), Vice President of IEEE SMC Society (2021-2022), and IEEE SMC Society Distinguished Lecturer (2021-2025).He is a Fellow of Australian Academy of Technological Science and Engineering, a Fellow of IEEE, and a Member of the Academy of Europe.He received the PhD degree in Electrical Engineering from the University of Newcastle, Australia in 1994, the Doctor of Science degree from the University of Glamorgan, UK in 2006, and the Doctor of Engineering degree from the University of Adelaide, Australia in 2015.






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绣山讲坛第408讲-Collaborative Control for Multi-agent Systems
作者: 已浏览:次 更新日期:2025-11-18

报告题目Collaborative Control for Multi-agent Systems

报告时间:2025年11月27日晚上17:00-19:00。

报告地点:线上的腾讯会议形式#腾讯会议:802-572-803

主讲人:Peng Shi, The University of Adelaide

背景简介:

Peng Shi目前是澳大利亚阿德莱德大学电气与电子工程U体育网 教授、先进无人系统实验室主任、欧洲科U体育网 外籍院士、澳大利亚工程院院士及IEEE Transactions on Cybernetics主编等,主要从事系统和控制理论在自主和机器人系统、网络物理系统和多智能体系统中的应用研究,是控制科学与工程领域享有盛誉的专家,拥有丰富的学术经验和卓越的研究成果。

摘要:

The key features of Multi-agent Systems (MAS) are communication, coordination, and collaboration, by which the agents can achieve a common (and possibly difficult) goal in a more effective and efficient way. Three main topics within the realm of MAS are consensus, flocking and formation control. Cooperating processes often require agents to reach a consensus, which is the fundamental problem in MAS. Flocking (or swarming) is a self-organizing behavior originated from small-size animals with lower intelligence, which enables the emergence of swarm intelligence to improve the whole system survivability and competitiveness. Formation control generally aims to drive the agents to achieve a desired formation, scalable and/or changeable. In this talk, modeling analysis and design of a variety of distributed schemes for consensus and formation control are introduced. Simulations and experimental examples are provided to demonstrate the potential of the proposed new design techniques.

主讲人简介:

Peng Shi is now a Distinguished Professor at the School of Electrical and Mechanical Engineering, and the Director of Advanced Unmanned Systems Laboratory, and Cyber-Physical-Human Systems Laboratory, at The University of Adelaide, Australia. His research interests include systems and control theory and applications to autonomous and robotic systems, cyber-physical systems, and multi-agent systems. His accolades include the Lotfi Zadeh Pioneer Award (2025), Nobert Wiener Outstanding Research Award (2024), and the Meritorious Service Award (2023) all from IEEE SMC Society; the Annual Scientific Award (2024), and Ramesh Agarwal Life-time Achievement Award (2023) all from the International Engineering and Technology Institute; the MA Sargent Medal from Engineers Australia (2022); the Honor of Life-time Achiever Leaderboard and Field Leader from The AUSTRALIAN Research Review (2019-2024); and the Recognition of Highly Cited Researcher from Clarivate (2014-2025). Currently he serves as the Editor-in-Chief of IEEE Transactions on Cybernetics, a Senior Editor of IEEE Access, and an associate editor of Automatica, and IEEE Transactions on Artificial Intelligence. His professional services also include as the President of International Academy for Systems and Cybernetic Sciences (2021-2024), Vice President of IEEE SMC Society (2021-2022), and IEEE SMC Society Distinguished Lecturer (2021-2025).He is a Fellow of Australian Academy of Technological Science and Engineering, a Fellow of IEEE, and a Member of the Academy of Europe.He received the PhD degree in Electrical Engineering from the University of Newcastle, Australia in 1994, the Doctor of Science degree from the University of Glamorgan, UK in 2006, and the Doctor of Engineering degree from the University of Adelaide, Australia in 2015.






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