Robust Model-Based Fault Diagnosis for Dynamic Systems

✍ Scribed by Jie Chen, Ron J. Patton (auth.)

Publisher: Springer US
Year: 1999
Tongue: English
Leaves: 369
Series: The International Series on Asian Studies in Computer and Information Science 3
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xix
Introduction....Pages 1-18
Basic Principles of Model-Based Fault Diagnosis....Pages 19-64
Robust Residual Generation Using Unknown Input Observers....Pages 65-108
Robust Residual Generation by the Assignment of Observer Eigenstructure....Pages 109-135
Determination of Disturbance Distribution Matrices for Robust Residual Generation....Pages 137-166
Robust Residual Generator Design Via Multi-Objective Optimization and Genetic Algorithms....Pages 167-192
Robust Residual Generation Using Optimal Parity Relations....Pages 193-208
Frequency Domain Design and H∞ Optimization Methods For Robust Fault Diagnosis....Pages 209-250
Fault Diagnosis of Non-Linear Dynamic Systems....Pages 251-295
Back Matter....Pages 297-356

✦ Subjects

Electrical Engineering; Systems Theory, Control; Calculus of Variations and Optimal Control; Optimization; Processor Architectures; Automotive Engineering

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