Nankai University International E-Forum on Artificial Intelligence and Robotics

（第77期）

2025年南開大學(xué)人工智能與機(jī)器人國際學(xué)術(shù)講壇

College of Artificial Intelligence, Nankai University

報(bào)告時(shí)間：2025年12月12日（周五）13:30~15:00

zoom會(huì)議：lD:8896333 5388     Passcode:740489

報(bào)告嘉賓：Ying Tan

專家單位：The University of Melbourne

報(bào)告題目：Extremum Seeking Control:Theory to Applications

報(bào)告摘要：

Extremum Seeking Control (ESC) is a control method designed to determine and maintainthe extremum (maximum or minimum) value of a function in real time. Since its inventiorin 1922, ESC has undergone significant theoretical developments and has been applied invarious domains, such as maximizing power generation from wind turbines. This talk will begin by revisiting the history of extremum seeking control and explaining the fundamentals of how ESC functions.lt will then delve into recent advancements, including several design frameworks. The final section will specifically focus on model-guided ESC in human-prosthetic interfaces. This innovative application utilizes model-based approaches to enhance the interaction between humans and prosthetic devices, aiming to improve both performance and user experience.

報(bào)告人簡(jiǎn)介：

Dr. Ying Tan is a Professor of Mechanical Engineering at The University of Melbourne, Australia. She earned her bachelor's degree from Tianjin University, China, in 1995, and her PhD from the National University of Singapore in 2002. Following a postdoctoral fellow-ship at McMaster University, she joined The University of Melbourne in 2004. Dr. Tan has received numerous prestigious recognitions, including an Australian Postdoctoral Fellow-ship(2006-2008) and an  ARC Future Fellowship (2009-2013). She currently serves on the ARC College of Experts (2024-2026) and holds several distinguished titles, including Fellow Of lEEE (FlEEE), Fellow of Engineers Australia (FlEAust), and Fellow of the Asia-Pacific Artificial Intelligence Association, She is also a member of the lEEE Felow Committee(2024-2025) and was recently elected Fellow of the Australian Academy of Technolog)and Engineering (ATSE,2025), an honor recognizing her outstanding contributions to engineering and applied science in Australia. Her research spans intelligent systems, nonlinear systems, data-driven optimization, rehabilitation robotics, human motor learning, wearable sensors, and model-guided machine learning.