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學(xué)術(shù)活動(dòng)

Bayu Jayawardhana

學(xué)術(shù)報告 《Collaborative autonomous agents: state-of-the-art and research challenges》

活動(dòng)時(shí)間:2020年12月4日(周五) 16:00-17:30 活動(dòng)地點(diǎn):機械館J3報告廳 發(fā)布時(shí)間:2020年12月02日 11:00

報告時(shí)間:2020年12月4日(周五) 16:00-17:30

報告地點(diǎn):機械館J3報告廳

報告形式:遠程視頻

報告人:Bayu Jayawardhana

報告人簡(jiǎn)介

Bayu Jayawardhana (SM13) received the B.Sc. degree in electrical and electronics engineering from the Institut Teknologi Bandung, Bandung, Indonesia, in 2000, the M.Eng. degree in electrical and electronics engineering from the Nanyang Technological University, Singapore, in 2003, and the Ph.D. degree in electrical and electronics engineering from Imperial College London, London, U.K., in 2006. He is currently a professor of Mechatronics and Control of Nonlinear Systems in the Faculty of Engineering and Sciences, University of Groningen, Groningen, The Netherlands. He was with Bath University, Bath, U.K., and with Manchester Interdisciplinary Bio-centre, University of Manchester, Manchester, U.K. His research interests include the analysis of nonlinear systems, systems with hysteresis, mechatronics, systems and synthetic biology. Prof. Jayawardhana is a Subject Editor of the International Journal of Robust and Nonlinear Control, an Associate Editor of the European Journal of Control and of IEEE Trans. Control Systems Technology and a member of the Conference Editorial Board of the IEEE Control Systems Society.

報告內容簡(jiǎn)介

The deployment of collaborative autonomous agents (such as, mobile robots, vehicles, drones, underwater vehicles), where each agent has a high-degree of autonomy and must cooperate with its neighbouring agents such that some prescribed global tasks can be achieved by the whole group, has a lot of potentials in many industrial sectors. It has found potential applications in logistics, manufacturing, environmental and creative industries. In this talk, we will present state-of-the-art distributed control systems techniques, which are enabling technologies for the autonomous collaboration where the use of centralised computing device for orchestrating the multi-agent systems is avoided at all cost. We present experimental results and challenges that include computational aspects and communication technology.

*本報告由燕山大學(xué)引才引智國際合作培育項目資助。

機械工程學(xué)院

2020年12月2日