Solving Fault Diagnosis Problems: Linear Synthesis Techniques
β Scribed by Andreas Varga (auth.)
- Publisher
- Springer International Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 411
- Series
- Studies in Systems, Decision and Control 84
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book addresses fault detection and isolation topics from a computational perspective. Unlike most existing literature, it bridges the gap between the existing well-developed theoretical results and the realm of reliable computational synthesis procedures.
The model-based approach to fault detection and diagnosis has been the subject of ongoing research for the past few decades. While the theoretical aspects of fault diagnosis on the basis of linear models are well understood, most of the computational methods proposed for the synthesis of fault detection and isolation filters are not satisfactory from a numerical standpoint. Several features make this book unique in the fault detection literature:
- Solution of standard synthesis problems in the most general setting, for both continuous- and discrete-time systems, regardless of whether they are proper or not; consequently, the proposed synthesis procedures can solve a specific problem whenever a solution exists
- Emphasis on the best numerical algorithms to solve the synthesis problems for linear systems in generalized state-space form (also known as descriptor systems)
- Development of general synthesis procedures relying on new computational paradigms, such as factorization-based design based on filter updating techniques and nullspace-based synthesis
- Availability of a comprehensive set of free accompanying software tools for descriptor systems, which allows readers to easily implement all synthesis procedures presented in the book and ensures that all results are reproducible
This book is primarily intended for researchers and advanced graduate students in the areas of fault diagnosis and fault-tolerant control. It will also appeal to mathematicians with an interest in control-oriented numerics.
β¦ Table of Contents
Front Matter....Pages i-xxviii
Front Matter....Pages 1-1
Introduction....Pages 3-6
Modelling Systems with Faults....Pages 7-25
Fault Diagnosis....Pages 27-56
Model Detection....Pages 57-67
Front Matter....Pages 69-70
Synthesis of Fault Detection and Isolation Filters....Pages 71-125
Synthesis of Model Detection Filters....Pages 127-146
Computational Issues....Pages 147-199
Case Studies....Pages 201-246
Front Matter....Pages 247-247
System Theoretical Concepts....Pages 249-297
Computational Algorithms and Software....Pages 299-379
Back Matter....Pages 381-394
β¦ Subjects
Control;Appl.Mathematics/Computational Methods of Engineering;Systems Theory, Control
π SIMILAR VOLUMES
<p><span>The goal of this new edition is the same as for the first edition βto address the fault detection and isolation topics from a computational perspectiveβ, by covering the same important aspects, namely, (1) providing a completely general theoretical treatment of fault and model detection pro
<p>This book deals with the theory and applications of the Reformulation- Linearization/Convexification Technique (RL T) for solving nonconvex optimization problems. A unified treatment of discrete and continuous nonconvex programming problems is presented using this approach. In essence, the bridge
This book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, especially for those demanding systems that require reliability, availability, maintainability and safet
The purpose of this book is to teach the basic principles of problem solving, including both mathematical and nonmathematical problems. This book will help students to translate verbal discussions into analytical data; learn problem-solving methods for attacking collections of analytical questions o