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Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®

  • Jian Zhang
  • Akshya Kumar Swain
  • Sing Kiong Nguang

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 1-10
  3. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 11-33
  4. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 35-56
  5. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 57-85
  6. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 87-114
  7. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 115-144
  8. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 145-164
  9. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 165-197
  10. Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
    Pages 199-201
  11. Back Matter
    Pages 203-224

About this book

Introduction

This book introduces several observer-based methods, including:

• the sliding-mode observer

• the adaptive observer

• the unknown-input observer and

• the descriptor observer method

for the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H¥ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other.

Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Fault Diagnosis Fault Detection and Isolation Fault Estimation Sensor Faults Actuator Faults Observer-based Fault Diagnosis Descriptor Systems Nonlinear Lipschitz Systems Incipient Fault Detection and Estimation Robust Observers

Authors and affiliations

  • Jian Zhang
    • 1
  • Akshya Kumar Swain
    • 2
  • Sing Kiong Nguang
    • 3
  1. 1.Dept. of Electrical and Computer Eng.University of AucklandAucklandNew Zealand
  2. 2.Dept. of Electrical and Computer Eng.University of AucklandAucklandNew Zealand
  3. 3.Dept. of Electrical and Computer Eng.University of AucklandAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-32324-4
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-32323-7
  • Online ISBN 978-3-319-32324-4
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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