Overview
- Presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework
- Starts from advanced state estimation strategies up to modern soft computing by employing
- Show to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 266)
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Table of contents (7 chapters)
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Front Matter
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Robust Fault Diagnosis
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Front Matter
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Integrated Fault Diagnosis and Control
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Front Matter
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Back Matter
Keywords
About this book
This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models.
This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.
Authors and Affiliations
Bibliographic Information
Book Title: Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems
Book Subtitle: Analytical and Soft Computing Approaches
Authors: Marcin Witczak
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-3-319-03014-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03013-5Published: 30 December 2013
Softcover ISBN: 978-3-319-38042-1Published: 27 August 2016
eBook ISBN: 978-3-319-03014-2Published: 11 December 2013
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XVI, 229
Number of Illustrations: 117 b/w illustrations
Topics: Control and Systems Theory, Computational Intelligence, Artificial Intelligence, Complexity