Overview
- Nominated as an outstanding PhD thesis by the Control Engineering group of the Comité Español de Automática (CEA)
- Reports on a novel approach to robust and performance-based state feedback control
- Describes potential fault-tolerant control (FTC) strategies for gain-scheduled systems
- Offers a comprehensive review of gain-scheduling and fault-tolerant control (FTC) methods
- Discusses the similarities between linear parameter varying and Takagi-Sugeno (TS) systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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About this book
This thesis reports on novel methods for gain-scheduling and fault tolerant control (FTC). It begins by analyzing the connection between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms. This is then followed by a detailed description of the design of robust and shifting state-feedback controllers for these systems. Furthermore, it presents two approaches to fault-tolerant control: the first is based on a robust polytopic controller design, while the second involves a reconfiguration of the reference model and the addition of virtual actuators into the loop. Inaddition the thesis offers a thorough review of the state-of-the art in gain scheduling and fault-tolerant control, with a special emphasis on LPV and TS systems.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Advances in Gain-Scheduling Techniques
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Front Matter
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Advances in Fault Tolerant Control Techniques
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Advances in Gain-Scheduling and Fault Tolerant Control Techniques
Authors: Damiano Rotondo
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-62902-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-62901-8Published: 23 October 2017
Softcover ISBN: 978-3-319-87425-8Published: 24 August 2018
eBook ISBN: 978-3-319-62902-5Published: 14 October 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXIII, 255
Number of Illustrations: 29 b/w illustrations, 34 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Robotics and Automation, Systems Theory, Control