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Advances in Gain-Scheduling and Fault Tolerant Control Techniques

  • Damiano Rotondo

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Damiano Rotondo
    Pages 1-6
  3. Advances in Gain-Scheduling Techniques

  4. Advances in Fault Tolerant Control Techniques

  5. Back Matter
    Pages 247-255

About this book

Introduction

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. In short, 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.

Keywords

Takagi-Sugeno Models Fuzzy Control LPV Models Polytopic Quasi-LPV Models Robust Control Fault Tolerant Control Virtual Actuators Actuator Saturation Uncertain LPV Systems

Authors and affiliations

  • Damiano Rotondo
    • 1
  1. 1.Universitat Politècnica de CatalunyaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-62902-5
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-62901-8
  • Online ISBN 978-3-319-62902-5
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site