There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

Robust Model-Based Fault Diagnosis for Dynamic Systems

https://users.encs.concordia.ca/~ymzhang/publications/ARC32-2-98Zhang_pp.229-252.pdf

Bibliographical review on reconfigurable fault-tolerant control systems

A most critical and important issue surrounding the design of automatic control systems with the successively increasing complexity is guaranteeing a high system performance over a wide operating range and meeting the requirements on system reliability and dependability. As one of the key technologies for the problem solutions, advanced fault detection and identification (FDI) technology is receiving considerable attention. The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.

Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools

With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and safety hazards, which greatly necessitates to detect and identify any kinds of potential abnormalities and faults as early as possible and implement real-time fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results have been reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade. In this paper, fault diagnosis approaches and their applications are comprehensively reviewed from model- and signal-based perspectives, respectively.

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A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

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.

/pdf/diagnosis-and-fault-tolerant-control-1f3rgv22ca.pdf

Diagnosis and Fault-Tolerant Control

Brief paper: A state-feedback approach to event-based control

Large scale control systems results of multivariable feedback systems models and structure of interconnected systems decentralized stabilizability the decentralized stabilization and pole assignment optimal decentralized control stability analysis of interconnected systems decentralized design for strongly coupled subsystems decentralized design for weakly coupled systems decentralized PI controllers strongly coupled symmetric composite systems survey of the results and open problems in feedback control of large-scale systems.

Feedback control of large-scale systems

Fault-tolerant control aims at a gradual shutdown response in automated systems when faults occur. It satisfies the industrial demand for enhanced availability and safety, in contrast to traditional reactions to faults, which 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. It also introduces design methods suitable for diagnostic systems and fault-tolerant controllers for continuous processes that are described by analytical models of discrete-event systems represented by automata. The book is suitable for engineering students, engineers in industry and researchers who wish to get an overview of the variety of approaches to process diagnosis and fault-tolerant control. The authors have extensive teaching experience with graduate and PhD students, as well as with industrial experts. Parts of this book have been used in courses for this audience. The authors give a comprehensive introduction to the main ideas of diagnosis and fault-tolerant control and present some of their most recent research achievements obtained together with their research groups in a close cooperatio n with European research projects. The third edition resulted from a major re-structuring and re-writing of the former edition, which has been used for a decade by numerous research groups. New material includes distributed diagnosis of continuous and discrete-event systems, methods for reconfigurability analysis, and extensions of the structural methods towards fault-tolerant control. The bibliographical notes at the end of all chapters have been up-dated. The chapters end with exercises to be used in lectures.

/pdf/diagnosis-and-fault-tolerant-control-2nd-edition-3t0w0husd9.pdf

Diagnosis and Fault-tolerant Control, 2nd edition

Preface List of contributors Notation Part I. Theory: 1. Introduction to hybrid systems W. P. M. H. Heemels, D. Lehmann, J. Lunze and B. De Schutter 2. Survey of modeling, analysis, and control of hybrid systems B. De Schutter, W. P. M. H. Heemels, J. Lunze and C. Prieur 3. Hybrid automata S. Kowalewski, M. Garavello, H. Gueguen, G. Herberich, R. Langerak, B. Piccoli, J. W. Polderman and C. Weise 4. Switched and piecewise affine systems J. Daafouz, M. D. Di Benedetto, V. D. Blondel, G. Ferrari-Trecate, L. Hetel, M. Johansson, A. L. Juloski, S. Paoletti, G. Pola, E. De Santis and R. Vidal 5. Further switched systems A. Bemporad, M. K. Camlibel, W. P. M. H. Heemels, A. J. van der Schaft, J. M. Schumacher and B. De Schutter 6. Hybrid systems: quantization and abstraction J. Lunze, A. Bicchi, T. Moor, L. Palopoli, B. Picasso, J. Raisch and A. Schild 7. Stochastic hybrid systems J. Lygeros and M. Prandini Part II. Tools: 8. Overview of tools development and open problems D. A. van Beek and S. Engell 9. Verification tools for linear hybrid automata G. Frehse 10. Tools for modeling, simulation, control, and verification of piecewiseaffine systems A. Bemporad, S. Di Cairano, G. Ferrari-Trecate, M. Kvasnica, M. Morari and S. Paoletti 11. Modeling, simulation, and optimization environments C. Sonntag 12. Interchange formats and tool integration D. A. van Beek, M. A. Reniers, J. E. Rooda and R. R. H. Schiffelers Part III. Applications: 13. Energy management M. Morari, A. G. Beccuti, S. Mariethoz and G. Papafotiou 14. Industrial controls S. Engell, S. Lohmann, T. Moor, C. de Prada, J. Raisch, D. Sarabia and C. Sonntag 15. Automotive control L. Benvenuti, A. Balluchi, A. Bemporad, S. Di Cairano, B. Johansson, R. Johansson, A. Sangiovanni Vincentelli and P. Tunestal 16. Networked control M. D. Di Benedetto, A. Bicchi, A. D'Innocenzo, K. H. Johansson, A. Robertsson, F. Santucci, U. Tiberi and A. Tzes 17. Solar air conditioning - a benchmark for hybrid systems control E. F. Camacho and D. Zambrano References Index.

Jan Lunze

Papers

Diagnosis and Fault-Tolerant Control

Brief paper: A state-feedback approach to event-based control

Feedback control of large-scale systems

Diagnosis and Fault-tolerant Control, 2nd edition

Handbook of Hybrid Systems Control: Theory, Tools, Applications