Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

Chapter 1. Introduction.- Chapter 2. Paradigm of model-based fault detection and diagnosis.- Chapter 3. LDTV systems, and fault detection and estimation for LDTV systems.- Chapter 4. Krein space and Krein space-based optimization technique.- Chapter 5. H2 optimization-based fault detection for LDTV systems.- Chapter 6. Optimal fault detection for LDTV systems.- Chapter 7. A projection-based method of fault detection for LDTV systems.- Chapter 8. An Hi/H -optimization scheme of fault detection for LDTV systems.- Chapter 9. An Hi/H -optimization approach to event-triggered fault detection for LDTV systems.- Chapter 10. A scheme of optimal fault detection for LDTV systems with delayed state.- Chapter 11. A krein space approach to H fault estimation of LDTV systems.- Chapter 12. On designing H fault detection filter for LDTV systems.- Chapter 13. Krein space based H fault detection for LDTV systems with delayed state.- Chapter 14. Parity space-based fault detection for LDTV systemswith unknown input.- Chapter 15. Parity space-based fault estimation for LDTV systems.- Chapter 16. Event-triggered parity space approach to fault detection for LDTV systems.- Chapter 17. Stationary wavelet transform aided fault detection for LDTV systems.- Chapter 18. An extended H-/H optimization approach to fault detection for a class of nonlinear systems.- Chapter 19. Probability analysis of fault diagnosis performance for satellite attitude control systems.- Chapter 20. Hi/H optimization based fault detection for INS/GPS-integrated systems.- Chapter 21. Krein space based H fault estimation for discrete-time nonlinear systems.- Chapter 22. Adaptive in-flight alignment of INS/GPS systems for aerial mapping.- Chapter 23. On real time performance evaluation of the inertial sensors for INS/GPS integrated systems.- Chapter 24. Summary.

Maiying Zhong received the Ph.D. degree in control theory and control engineering from the Northeastern University, Shenyang, China, in 1999. From 2000 to 2001, she was Visiting Scholar with the University of Applied Sciences Lausitz, Germany. From 2002 to July 2008, she was Professor with the School of Control Science and Engineering at Shandong University. From 2006 to 2007, she was Postdoctoral Researcher Fellow with the Central Queensland University, Australia. From 2009 to 2016, she was Professor with the School of Instrument Science and Opto-Electronics Engineering, Beihang University. In March 2016, she joined Shandong University of Science and Technology, Qingdao, China, where she is currently Professor with the College of Electrical Engineering and Automation. Her research interests are fault diagnosis, fault-tolerant control, and their applications. Ting Xue received the M.S. degree in Instrumentation Science and Technology from Beihang University, Beijing, China, in 2016, and Ph.D. degree in Electrical Engineering and Information Technology from the University of Duisburg-Essen, Duisburg, Germany, in 2020. She is currently a post-doctoral with Shandong University of Science and Technology, Shandong, China. Her research interests include fault diagnosis and fault-tolerant control and their applications. Steven X. Ding received Ph.D. degree in electrical engineering from the GerhardMercator 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 a vice-president of this university during 1998-2000. He is currently 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, Germany. His research interests are model-based and data-driven fault diagnosis,