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Title
Observer-based fault estimation techniques / Ke Zhang, Bin Jiang, Peng Shi, Vincent Cocquempot.
ISBN
9783319674926 (electronic book)
3319674927 (electronic book)
9783319674919
3319674919
Published
Cham, Switzerland : Springer, [2018]
Language
English
Description
1 online resource.
Other Standard Identifiers
10.1007/978-3-319-67492-6 doi
Call Number
TA169.6
Dewey Decimal Classification
620/.00452
Summary
This book investigates observer-fault estimation techniques in detail, while also highlighting recent research and findings regarding fault estimation. Many practical control systems are subject to possible malfunctions, which may cause significant performance loss or even system instability. To improve the reliability, performance and safety of dynamical systems, fault diagnosis techniques are now receiving considerable attention, both in research and applications, and have been the subject of intensive investigations. Fault detection ? the essential first step in fault diagnosis ? is a binary decision-making process used to determine whether or not a fault has occurred. In turn, fault isolation is used to identify the location of the faulty component, while fault estimation is used to identify the size of the fault online. Compared with the problems involved in fault detection and isolation, fault estimation is considerably more challenging.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 24, 2017).
Series
Studies in systems, decision and control ; v. 127.
Available in Other Form
Print version: 9783319674919
Introduction
Fault Estimation of Continuous-Time Systems in Finite-Frequency Domain
Fault Estimation of Discrete-Time Systems in Finite-Frequency Domain
Fault Estimation of Fuzzy Systems in Finite-Frequency Domain
Fault Estimation with Finite-Time Convergence Specification
AP-Based Fault Estimation
H? and H2 Distributed Fault Estimation for MAS
Adaptive Technique-Based Distributed Fault Estimation for MAS
AP-Based Distributed Fault Estimation for MAS
Conclusions.
