Overview
- Presents several fundamental problems concerning fault diagnosis and fault tolerant control for dynamic systems
- Combines adaptive control technique with other control techniques and approaches
- Puts forward a basic theoretical framework including the issues of fault diagnosis and fault tolerant control of dynamic systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 91)
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About this book
This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems. Combining adaptive control technique with other control methodologies, it investigates the problems of fault diagnosis and fault tolerant control for uncertain dynamic systems with or without time delay.
As such, the book provides readers a solid understanding of fault diagnosis and fault tolerant control based on adaptive control technology. Given its depth and breadth, it is well suited for undergraduate and graduate courses on linear system theory, nonlinear system theory, fault diagnosis and fault tolerant control techniques. Further, it can be used as a reference source for academic research on fault diagnosis and fault tolerant control, and for postgraduates in the field of control theory and engineering.
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Table of contents (10 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach
Authors: Qikun Shen, Bin Jiang, Peng Shi
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-52530-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-52529-7Published: 27 February 2017
Softcover ISBN: 978-3-319-84926-3Published: 13 July 2018
eBook ISBN: 978-3-319-52530-3Published: 14 February 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVIII, 239
Number of Illustrations: 3 b/w illustrations, 57 illustrations in colour
Topics: Control and Systems Theory, Mathematical and Computational Engineering, Systems Theory, Control