2016年9月13日下午,德国杜伊斯堡-埃森大学(University of Duisburg-Essen)终身教授、系主任,自动控制与复杂系统研究所(Institute for Automatic Control and Complex Systems)所长Steven X. Ding教授,应我院彭开香教授和杨旭副教授的邀请,来到自动化学院,在机电信息楼1104会议室,做了题为“From Information Aspects in Control and Monitoring to Data-driven and Model-based Methods”的学术报告。自动化学院党委书记尹怡欣教授出席了报告会,学院部分老师和研究生一同参加了学术报告。
报告会开始,杨旭老师向在座师生简要介绍Steven X. Ding教授的个人情况和主要学术成果,随后尹怡欣教授也代表学院热烈欢迎Steven X. Ding教授。
报告会上,Steven X. Ding教授从回顾数据驱动主要学术思想入手,讲述了其团队在基于模型的方法和数据驱动方法在过程监测、故障诊断及容错控制领域的研究成果,主要分为三个方面:1)SKR(Stable Kernel Representation)与SIR(Stable Image Representation)的数据驱动实现;2)基于数据驱动的复杂控制系统的阈值设计与优化;3)故障诊断与控制中RA(Randomized Algorithms)方法的实现。针对上述内容,多位老师及同学们与Steven X. Ding教授展开讨论,会场气氛热烈。
Steven X. Ding教授的学术报告让同学们对基于数据的过程监控与控制方面的研究进展和新成果有了一定的认识,开阔了大家的眼界,大家都受益匪浅。
报告人简介:
Steven Ding received Ph.D. degree in electrical engineering from the Gerhard-Mercator University of Duisburg, Germany, in 1992. From 1992 to 1994, he was a R&D engineer at Rheinmetall GmbH. From 1995 to 2001, he was a professor of control engineering at the University of Applied Science Lausitz in Senftenberg, Germany, and served as vice president of this university during 1998 – 2000. Since 2001, he has been a chair professor of control engineering and the head of the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany. His research interests are model-based and data-driven fault diagnosis, control and fault-tolerant systems and their application in industry with a focus on automotive systems, chemical processes and renewable energy systems.
(责编:董强)