报告题目：Advanced Robust Model Predictive Control (MPC) Framework for Autonomous Intelligent Mechatronic Systems
报 告 人：施阳，加拿大维多利亚大学；Fellow of RSC, CAE, EIC, IEEE, ASME, CSME
报告时间：2026年8月21日(周五) 10:30-11:30
报告地点：如家精选酒店4楼多功能厅
个人简介：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)。
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。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 Outstanding Engineer Award。曾任IEEE工业电子学会副主席 (2022-2025)，曾担任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); IEEE Transactions on Industrial Electronics主编和多家国际期刊的副编辑，包括：Automatica, IEEE Transactions on Automatic Control, Annual Review in Controls等。
报告摘要：
Networked and distributed control for mechatronic systems have received great attention in the control community due to its wide application areas. Network-induced limitations may be caused by the presence of a communication channel, or because of the efficient assignment of power and other limited resources. Intelligent mechatronic systems represent a large class of smart systems that encompass computational (i.e., hardware and software) and physical components, seamlessly integrated and closely interacting to autonomously sense and manipulate the changing state of the physical system. These systems involve a high degree of complexity at numerous spatial and temporal scales and highly networked communications integrating computational and physical components. Model predictive control (MPC) is a promising paradigm for high-performance and cost-effective control of networked and distributed mechatronic systems. This talk will firstly summarize the major application requirements and challenges to innovate in designing, implementing, deploying and operating intelligent mechatronic systems. Further, the robust MPC and distributed MPC design methods will be presented. Finally, the application of MPC algorithms to a variety of autonomous intelligent mechatronic systems will be illustrated.
信息与控制工程学院
2026年8月13日
