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Author:   Steven X. Ding
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. 2021
Weight:   1.032kg
ISBN:  

9783662620038

ISBN 10:   3662620030
Pages:   658
Publication Date:   24 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Basic requirements on fault detection and estimation.- Basic methods for fault detection and estimation in static and dynamic processes.- Feedback control, observer, and residual generation.- Fault detection and estimation for linear time-varying systems.- Detection and isolation of multiplicative faults in uncertain systems.- Analysis, parameterisation and optimal design of nonlinear observer-based fault detection systems.- Data-driven fault detection methods for large-scale and distributed systems.- Alternative test statistics and data-driven fault detection methods.-  Application of randomised algorithms to assessment and design of fault diagnosis systems.- Performance-based fault-tolerant control.- Performance degradation monitoring and recovering.- Data-driven fault-tolerant control schemes.

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Author Information

Prof. Dr.-Ing. Steven X. Ding is head of the institute Automatic Control and Complex Systems (AKS) at the University of Duisburg, Germany. He received the Ph.D. degree in electrical engineering from the University of Duisburg in 1992. Between 1992 and 1994, he worked with Rheinmetall GmbH, Germany. From 1995 to 2001, he was professor of control engineering at the University of Applied Science Lausitz in Senftenberg, Germany, and was the the vice president of this university during 1998 – 2000. Since 2001, he has been a full professor of control engineering at the University of Duisburg-Essen. Prof. Ding has published three books and over 350 book contributions, journal and conference papers in the areas of model-based and data-driven fault diagnosis, process monitoring and control as well as their applications to the automotive, process and renewable energy industries. Detailed information is available at AKS-website: http://aks.uni-due.de/htm/index.php?lang=en

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