讲座信息

Control, detection and estimation: Information and optimization aspects系列讲座


主   办:力学系与湍流重点实验室
报告人:Prof. Steven Ding 等
时   间:9月6日(周三)下午2:30-5:00 起
地   点:力学楼434会议室
主持人:杨莹 教授



报告一:Feedback controllers, observers and residual generators
 
报告人  Prof. Steven Ding
德国杜伊斯堡-埃森大学
 
主持人:杨莹 教授
时  间:9月6日(周三)下午2:30-5:00
地  点:力学楼434会议室
 
报告内容摘要:

Factorization is a powerful tool for system representations, design and parametrization of feedback controllers. A residual generation interpretation of factorization based system representations reveals the information aspect of feedback control. As a result, any stabilizing controller can be represented as an observer/residual generator based state feedback controller. In this context, feedback control and fault detection issues can be dealt with in an integrated manner.
 
 
报告二:Detection and estimation
 
报告人  Prof. Steven Ding
德国杜伊斯堡-埃森大学
 
主持人:杨莹 教授
时  间:9月7日(周四)上午9:30-12:00
地  点:力学楼434会议室
 
报告内容摘要:

Fault/change detection is an essential topic in statistic, machine learning and control engineering/theory, although it is viewed and handled in different contexts using different tools. By studying some generally formulated detection problems, basic ideas and schemes for the problem solutions are presented and demonstrated. An important part of those schemes is the (optimal) estimation of system uncertainties and the fault to be detected. The first part of this study is focused on static systems.
 
 
报告三:Detection, estimation and optimization
 
报告人  Prof. Steven Ding
德国杜伊斯堡-埃森大学
 
主持人:杨莹 教授
时  间:9月8日(周五)上午9:30-12:00
地  点:力学楼434会议室
 
报告内容摘要:

The second part is dedicated to the dynamic systems. The major focus is on optimal observer design, its alternative formulation as an optimal unknown input and fault estimation problem as well as relations to system factorizations.
 
 
报告四:Robust (optimal) control, fault detection and fault-tolerant control
 
报告人  Prof. Steven Ding
德国杜伊斯堡-埃森大学
 
主持人:杨莹 教授
时  间:9月9日(周六)上午9:30-12:00
地  点:力学楼434会议室
 
报告内容摘要:

Based on the study in Blocks I-III, some standard robust control schemes are re-viewed under the aspect of fault detection and passive fault-tolerant control. It is followed by the introduction of active fault-tolerant schemes. The major focus is on the performance-based fault detection and fault-tolerant control at the system level.
 
 
报告五:Selected (challenging) topics in fault diagnosis and fault-tolerant control
 
报告人  Prof. Steven Ding
德国杜伊斯堡-埃森大学
 
主持人:杨莹 教授
时  间:9月10日(周日)上午9:30-12:00
地  点:力学楼434会议室
 
报告内容摘要:

Some challenging topics are briefly presented and discussed, including
  Data-driven schemes
  Application of machine and statistic learning methods to fault detection in dynamic systems
  Distributed data-driven fault detection
  Performance supervised fault-tolerant control.
 
 
 
报告人简介:


Professor Steven X. Ding received Dr.-Ing. 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 a 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 applications in industry with a focus on automotive systems, chemical processes and renewable energy systems.
 
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