Robust Model-Based Fault Diagnosis for Dynamic Systems

1. Front Matter

   Pages i-xix

   PDF

2. Introduction

   • Jie Chen, Ron J. Patton

   Pages 1-18

3. Basic Principles of Model-Based Fault Diagnosis

   • Jie Chen, Ron J. Patton

   Pages 19-64

4. Robust Residual Generation Using Unknown Input Observers

   • Jie Chen, Ron J. Patton

   Pages 65-108

5. Robust Residual Generation by the Assignment of Observer Eigenstructure

   • Jie Chen, Ron J. Patton

   Pages 109-135

6. Determination of Disturbance Distribution Matrices for Robust Residual Generation

   • Jie Chen, Ron J. Patton

   Pages 137-166

7. Robust Residual Generator Design Via Multi-Objective Optimization and Genetic Algorithms

   • Jie Chen, Ron J. Patton

   Pages 167-192

8. Robust Residual Generation Using Optimal Parity Relations

   • Jie Chen, Ron J. Patton

   Pages 193-208

9. Frequency Domain Design and H∞ Optimization Methods For Robust Fault Diagnosis

   • Jie Chen, Ron J. Patton

   Pages 209-250

10. Fault Diagnosis of Non-Linear Dynamic Systems

    • Jie Chen, Ron J. Patton

    Pages 251-295

11. Back Matter

    Pages 297-356

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There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear reactors and aircraft where safety is paramount important, to systems such as autonomous vehicles and fast railways where the system availability is vital. It is clear that fault diagnosis (including fault detection and isolation, FDI) has been becoming an important subject in modern control theory and practice. For example, the number of papers on FDI presented in many control-related conferences has been increasing steadily. The subject of fault detection and isolation continues to mature to an established field of research in control engineering. A large amount of knowledge on model-based fault diagnosis has been ac­ cumulated through the literature since the beginning of the 1970s. However, publications are scattered over many papers and a few edited books. Up to the end of 1997, there is no any book which presents the subject in an unified framework. The consequence of this is the lack of "common language", dif­ ferent researchers use different terminology. This problem has obstructed the progress of model-based FDI techniques and has been causing great concern in research community. Many survey papers have been published to tackle this problem. However, a book which presents the materials in a unified format and provides a comprehensive foundation of model-based FDI is urgently needed.

• diagnosis
• optimization
• safety
• system
• tables

`From a research monograph point of view, this book is certainly a welcome addition to several recently published books in this important field of fault-tolerant control systems. The reviewer would like to congratulate both authors for the excellent job presented in this book.'
Automatica 38:1089-1094 (2002)

• Brunel University, Uxbridge, UK

  Jie Chen

• University of Hull, Hull, UK

  Ron J. Patton

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