Fault-tolerant control aims at graceful degradation of automated systems in case of faults. It satisfies the industrial demand for enhanced availability and safety, in contrast to traditional reactions to faults that bring about sudden shutdowns and loss of availability. The book presents effective model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault through the process, to test the fault detectability and to find the redundancies in the process that can be used to ensure fault tolerance. Design methods for diagnostic systems and fault-tolerant controllers are presented for processes that are described by analytical models, by discrete-event models or that can be dealt with as quantised systems. Four case studies on pilot processes show the applicability of the presented methods. The theoretical results are illustrated by two running examples which are used throughout the book.The book addresses engineering students, engineers in industry and researchers who wish to get a survey over the variety of approaches to process diagnosis and fault-tolerant control.

This book presents model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance. Case studies demonstrate the methods presented.

The second edition includes new material on reconfigurable control, diagnosis of nonlinear systems, and remote diagnosis, plus new examples and updated bibliography.

1. Introduction to diagnosis and fault-tolerant control.- 2. Examples.- 3. Models of dynamical systems.- 4. Analysis based on components and architecture.- 5. Structural analysis.- 6. Fault diagnosis of continuous-variable systems.- 7. Fault-tolerant control of continuous-variable systems.- 8. Diagnosis and reconfigurable control of discrete-event systems.- 9. Diagnosis and reconfiguration of quantised systems.- 10. Application examples.- References.- Appendices.- Appendix 1: Some prerequisites on vectors and matrices.- Appendix 2: Notions of probability theory.- Appendix 4: Nomenclature.- Appendix 5: Terminology.- Appendix 6: Dictionary.