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  • Book
  • © 2010

Neural Network-Based State Estimation of Nonlinear Systems

Application to Fault Detection and Isolation

Authors:

  1. Heidar A. Talebi

    1. Dept. Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

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  2. Farzaneh Abdollahi

    1. Dept. Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

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  3. Rajni V. Patel

    1. Dept. Electrical & Computer, University of Western Ontario, London, Canada

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  4. Khashayar Khorasani

    1. Dept. Electrical & Computer Engineering, Concordia University, Montreal, Canada

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  • Presents both the Linear-in-Parameter Neural Network based observer and the Nonlinear-in-Parameter Neural Network based observer approaches to nonlinear systems
  • Discusses the neural network structure for fault detection actuators using an application to satellite attitude control systems and robotic manipulators
  • Discusses robust sensor and actuator fault detection and estimation
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 395)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xiv
    PDF

  2. Introduction

    • Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani
    Pages 1-14

  3. Neural Network-Based State Estimation Schemes

    • Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani
    Pages 15-35

  4. Neural Network-Based System Identification Schemes

    • Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani
    Pages 37-59

  5. An Actuator Fault Detection and Isolation Scheme: Experiments in Robotic Manipulators

    • Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani
    Pages 61-82

  6. A Robust Actuator Gain Fault Detection and Isolation Scheme

    • Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani
    Pages 83-98

  7. A Robust Sensor and Actuator Fault Detection and Estimation Approach

    • Heidar A. Talebi, Farzaneh Abdollahi, Rajni V. Patel, Khashayar Khorasani
    Pages 99-130

  8. Back Matter

    Pages 1-23
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About this book

"Neural Network-Based State Estimation of Nonlinear Systems" presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.

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Keywords

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Authors and Affiliations

  • Dept. Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

    Heidar A. Talebi, Farzaneh Abdollahi

  • Dept. Electrical & Computer, University of Western Ontario, London, Canada

    Rajni V. Patel

  • Dept. Electrical & Computer Engineering, Concordia University, Montreal, Canada

    Khashayar Khorasani

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