【講座題目】Time-Synchronized Control and the AI Drives

【時(shí) 間】2024年6月20日  周四上午10：00-12：00

【地 點(diǎn)】主樓E510  控制與計(jì)算機(jī)工程學(xué)院學(xué)術(shù)報(bào)告廳

【主講人】Shuzhi Sam Ge FSAEng, FIEEE, FIFAC, FIET, PhD, DIC, BSc, PEng 新加坡工程院院士、新加坡國(guó)立大學(xué)電氣與計(jì)算機(jī)工程系終身教授

【主講人簡(jiǎn)介】

Shuzhi Sam Ge, IEEE Fellow (S’90-M’92-SM’99-F’06), PhD, DIC, BSc, PEng, is a Professor with the Department of Electrical and Computer Engineering, The National University of Singapore, Singapore. He received the Ph.D. degree from the Imperial College London, London, U.K., in 1993, and the B.Sc. degree from the Beijing University of Aeronautics and Astronautics, China, in 1986.  He serves as the Founding Editor-in-Chief, International Journal of Social Robotics, Springer Nature, 2008-present, a member of the standing committee of International Conference on Social Robotics, 2009-present, President Elect, Asian Control Association, 2022-2024, and Vice-Chair, Technical Committee on  Computational Intelligence in Control, IFAC, 2014-Present, and book Editor for Automation and Control Engineering of Taylor & Francis/CRC Press. He has served/been serving as an Associate Editor for a number of flagship journals including IEEE TAC, IEEE TCST, IEEE TNN, IEEE Transaction on SMC-Systems, and Automatica, CAAI Transactions on Intelligence Technology. At IEEE Control Systems Society, he served as Vice President for Technical Activities, 2009-2010, Vice President of Membership Activities, 2011-2012, Member of Board of Governors of IEEE Control Systems Society, 2007-2009. He is Clarivate Analytics (former Thomson Reuters) high-cited scientist in 2016-2020, Elsevier high-cited scientist in 2014-2023. He is also a Fellow of IFAC, IET, and SAEng. His current research interests include robotics, intelligent systems, artificial intelligence, and smart materials.

【講座內(nèi)容簡(jiǎn)介】

In the literature of control science and engineering, we are more concerned with convenrgence of the states of any dynamic systems, and gradually pay attention to academically challenging and practically relevant finite time convergence where finite-time control drives the states converge within a certain time moment, regardless of how each state element converges even though it is an very important and critical issue in many accurate, precise and delicated operations. In this report, we first introduce various fundamental and basic ideas of time-synchronized control, moving the boundary well beyond the well-established notions and outcomes of standard “finite-time stability”. Then, we introduce a control problem with unique finite/fixed-time stability considerations, namely time-synchronized control, where all the system state elements converge to the origin at the same time. We share with you more nice properties for this interesting time-synchronized properties, shortening the travel length, reducing the energy consumption and other applications. Finally, I would like to touch the AI drives in our teaching, learning and research.