State Estimation and Fault Diagnosis under Imperfect Measurements
eBook - ePub

State Estimation and Fault Diagnosis under Imperfect Measurements

  1. 198 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

State Estimation and Fault Diagnosis under Imperfect Measurements

About this book

The objective of this book is to present the up-to-date research developments and novel methodologies on state estimation and fault diagnosis (FD) techniques for a class of complex systems subject to closed-loop control, nonlinearities, and stochastic phenomena. It covers state estimation design methodologies and FD unit design methodologies including framework of optimal filter and FD unit design, robust filter and FD unit design, stability, and performance analysis for the considered systems subject to various kinds of complex factors.

Features:



  • Reviews latest research results on the state estimation and fault diagnosis issues.



  • Presents comprehensive framework constituted for systems under imperfect measurements.



  • Includes quantitative performance analyses to solve problems in practical situations.



  • Provides simulation examples extracted from practical engineering scenarios.



  • Discusses proper and novel techniques such as the Carleman approximation and completing the square method is employed to solve the mathematical problems.

This book aims at Graduate students, Professionals and Researchers in Control Science and Application, Stochastic Process, Fault Diagnosis, and Instrumentation and Measurement.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access State Estimation and Fault Diagnosis under Imperfect Measurements by Yang Liu,Zidong Wang,Donghua Zhou in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Author's Biography
  11. Acknowledgment
  12. Symbols
  13. 1 Introduction
  14. 2 Optimal Filtering for Networked Systems with Stochastic Sensor Gain Degradation
  15. 3 Recursive Filtering over Sensor Networks with Stochastic Sensor Gain Degradation
  16. 4 H∞ Filtering for Nonlinear Systems with Stochastic Sensor Saturations and Markov Time Delays
  17. 5 Observer Design for Systems with Unknown Inputs and Missing Measurements
  18. 6 Filtering and Fault Detection for Nonlinear Systems with Polynomial Approximation
  19. 7 Event-Triggered Filtering and Fault Estimation for Nonlinear Systems with Stochastic Sensor Saturations
  20. 8 Finite-Horizon Quantized H∞ Filter Design for Time-Varying Systems under Event-Triggered Transmissions
  21. 9 Observer-Based Fault Diagnosis Schemes under Closed-Loop Control
  22. 10 State Estimation and Fault Reconstruction with Integral Measurements under Partially Decoupled Disturbances
  23. 11 Conclusion and Further Work
  24. Bibliography
  25. Index