报告题目1：Artificial Intelligence in Power Electronics-Transitioning from Auxiliary Technology to Core Technology
报告人：Juan Jose Rodriguez-Andina (Fellow, IEEE)
报告时间：2025年10月9日（星期四）上午9:30—10:30
报告题目2： Adaptive Model Predictive Control for Dynamic Systems
报告人：Yang Shi(施阳) ; Fellow of RSC, CAE, EIC, IEEE, ASME, CSME; University of Victoria, Canada
报告时间：2025年10月9日（星期四）上午10:30—11:30
报告地点：笃行楼（2号楼）501会议室
欢迎各位老师和同学踊跃参加！
自动化科学与工程学院
2025年9月28日
报告摘要1：
From a wide historical perspective, Artificial Intelligence (AI) has been applied in Power Electronics (PE) for decades. For many years, though, it has been confined to specific tasks within the life cycle of PE systems, be it for accelerating some design tasks, optimizing control performance, or ensuring safe operation and fault tolerance, among others. In most cases, it was an auxiliary tool to complement expert PE engineers. However, in today’s world, complexity of PE systems is dramatically growing, their requirements are increasingly demanding and often conflicting, reducing time to market is a must for companies to survive, and, last but not least, there is a shortage of talented electrical engineers in general, and PE engineers in particular, as other professional careers are more attractive for younger generations. In this context, AI is emerging as a powerful solution for the whole PE design cycle, from system- to converter- to PCB- and component-level. This is being made efficiently feasible thanks to the recent and continuous advancements in physics-informed and generative AI. After an introduction addressing these issues, this talk will describe practical cases of AI applications in PE, from classical solutions to new paradigms aiming at autonomous and ethical AI-based PE design.
报告人简介1：
Juan Jose Rodriguez-Andina (Fellow, IEEE) received the M.Sc. degree from the Technical University of Madrid, Spain, in 1990, and the Ph.D. degree from University of Vigo, Spain, in 1996, both in electrical engineering. He is a professor with the Department of Electronic Technology, University of Vigo and also with the Research Institute of Interdisciplinary Intelligent Science, Ningbo University of Technology. In 2010-2011 he was on sabbatical leave as a Visiting Professor at the ADAC Laboratory, North Carolina State University, Raleigh. His current research interests include the implementation of complex control and processing algorithms and intelligent sensors in embedded platforms. Prof. Rodriguez-Andina has authored over 200 journal and conference articles, and holds several Spanish, European, and US patents. He is co-author of the articles that received the 2023 IEEE Transactions on Industrial Electronics Outstanding Paper Award and the 2017 IEEE Industrial Electronics Magazine Best Paper Award.He received the 2020 Anthony Hornfeck Award from the IEEE Industrial Electronics Society (IES). He is the 2024-2025 IES President-Elect. From 2016 to 2021 he was IES Vice President for Conference Activities. He served as Editor-in-Chief of the IEEE Industrial Electronics Magazine (2013-2015) and as Associate Editor of the IEEE Transactions on Industrial Electronics (2008-2018) and IEEE Transactions on Industrial Informatics (2011-2022). He is currently serving as Co-Editor-in-Chief of the IEEE Transactions on Industrial Electronics and as Associate Editor of the IEEE Open Journal of the Industrial Electronics Society.
报告摘要2：
Model predictive control (MPC) is a promising paradigm for high-performance and cost-effective control of complex dynamic systems. This talk will report some recent results on adaptive and learning model predictive control (MPC) for a class of constrained dynamic systems with unknown model parameters. By proactively designing the online estimation mechanism and constructing the tube-based adaptive MPC scheme, the enhanced performance can be achieved compared to the robust tube MPC method. The application of adaptive and learning MPC to unmanned systems will be introduced. Some existing challenges and future research directions will be discussed.
报告人简介2：
Yang SHI received his B.Sc. and Ph.D. degrees in mechanical engineering and automatic control from Northwestern Polytechnical University, Xi’an, China, in 1994 and 1998, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 2005. He was a Research Associate in the Department of Automation, Tsinghua University, China, during 1998-2000. From 2005 to 2009, he was an Assistant Professor and Associate Professor in the Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK, Canada. In 2009, he joined the University of Victoria, and now he is a Professor in the Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada. His current research interests include networked and distributed systems, model predictive control (MPC), cyber-physical systems (CPS), robotics and mechatronics, navigation and control of autonomous systems (AUV and UAV), and energy system applications. On teaching and mentorship, Dr. Shi received the University of Saskatchewan Student Union Teaching Excellence Award in 2007, and the Faculty of Engineering Teaching Excellence Award in 2012 at the University of Victoria (UVic), and the 2023 REACH Award for Excellence in Graduate Student Supervision and Mentorship. On research, he is the recipient of the JSPS Invitation Fellowship (short-term) in 2013, the UVic Craigdarroch Silver Medal for Excellence in Research in 2015, the 2017 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, the Humboldt Research Fellowship for Experienced Researchers in 2018; CSME Mechatronics Medal (2023); IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (2023); the 2024 IEEE Canada Outstanding Engineer Award. He is IFAC Council Member; VP on Conference Activities of IEEE IES and the Chair of IEEE IES Technical Committee on Industrial Cyber-Physical Systems. Currently, he is Editor-in-Chief of IEEE Transactions on Industrial Electronics (2025/01-); he also serves as Associate Editor for Automatica, IEEE Transactions on Automatic Control, Annual Review in Controls, etc. He is a Fellow of Royal Society of Canada (RSC), Canadian Academy of Engineering (CAE), Engineering Institute of Canada (EIC), IEEE, ASME, CSME, and a registered Professional Engineer in British Columbia, Canada.
施阳博士，1998年于西北工业大学获得博士学位；2005年于加拿大阿尔伯塔大学获得电子与计算机工程博士学位。2005-2009在加拿大萨斯喀彻温大学任助理教授及副教授；目前为加拿大维多利亚大学机械工程系终身教授。施阳博士的研究集中于工业信息物理系统、网络及分布式控制系统、模型预测控制、机电系统及机器人系统设计与控制、能源系统的优化调度与控制等。他2007年获得加拿大萨斯卡彻温大学十佳教学奖；2012年获得维多利亚大学工学院最佳教学奖。2015年获得维多利亚大学年度唯一的最佳研究银奖(Craigdarroch Silver Medal)；2013年获得日本学术振兴会特邀访问教授奖；获得2017年IEEE Transactions on Fuzzy Systems年度最佳论文奖；2018年获得德国洪堡研究基金；2023年获得加拿大机械工程师协会两年颁发一次的Mechatronics奖章；2023年获得IEEE尤金·米特尔曼成就奖；2024年获得IEEE Canada杰出工程师奖(IEEE Canada Outstanding Engineer Award)。曾任IEEE工业电子学会副主席，IES工业信息物理系统技术委员会主席(2019/1-2022/12)。目前任IFAC理事会成员(Council member)；任IEEE Transactions on Industrial Electronics的主编，任多家国际期刊的副编辑，包括：Automatica, IEEE Transactions on Automatic Control, Annual Review in Controls等。施阳教授是加拿大皇家科学院院士，加拿大工程院院士，加拿大工程研究院院士，是IEEE Fellow(国际电子电器工程师协会), ASME Fellow(美国机械工程师协会)和CSME Fellow(加拿大机械工程师协会)。