报告内容摘要：

Model-Based methods build the mainstream in the research domain of control theory and engineering. In the time of big data, considerable efforts are recently made to develop data-driven methods in the control area. In this talk, feedback control loops are first re-viewed from the information aspect. From that point of view, data-driven system representations are introduced, which could bridge the model-based and data-driven methods. In the last part, some data-driven and model-based integrated schemes are introduced.

报告人简介：

Steven X 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, Germany. From 1995 to 2001, he was a full-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 full-professor of control engineering and the head of the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen. His research interests are model-based and data-driven fault diagnosis, fault tolerant systems and their application in industry with a focus on automotive systems, chemical processes and renewable energy systems.
 
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