手机体育投注平台

Advertisement

Set-Based Fault Estimation for Descriptor Systems

Chapter
  • 3 Downloads
Part of the Springer Theses book series (Springer Theses)

Abstract

Fault estimation, as a significant stage of fault diagnosis, aims to estimate the magnitude of occurred faults in a system. The problem of fault estimation has been studied using a large amount of approaches during the past decades  [1, 2, 3, 4]. A suitable fault estimation with robust performance against system uncertainties is very useful for implementing an active fault-tolerant control system  [5]. Based on the robust control techniques, robust fault estimations are implemented in a variety of systems, such as  [6, 7, 8手机体育投注平台], where the effects of uncertainties are bounded, and as a result, fault estimation results are obtained with the minimum estimation error.

References

  1. 1.
    Blanke M, Kinnaert M, Lunze J, Staroswiecki M (2016) Diagnosis and fault-tolerant control. Springer, Berlin Heidelberg
  2. 2.
    Ding S (2013) Model-based fault diagnosis techniques. Springer, London, UK
  3. 3.
    Wan Y, Keviczky T (2019) Real-time nonlinear moving horizon observer with pre-estimation for aircraft sensor fault detection and estimation. Int J Robust Nonlinear Control 29(16):5394–5411
  4. 4.
    Wan Y, Keviczky T, Verhaegen M (2018) Fault estimation filter design with guaranteed stability using Markov parameters. IEEE Trans Autom Control 63(4):1132–1139
  5. 5.
    Lan J, Patton R (2016) A new strategy for integration of fault estimation within fault-tolerant control. Automatica 69:48–59
  6. 6.
    Rotondo D, Witczak M, Puig V, Nejjari F, Pazera M (2016) Robust unknown input observer for state and fault estimation in discrete-time Takagi-Sugeno systems. Int J Syst Sci 47(14):3409–3424
  7. 7.
    Wang Z, Rodrigues M, Theilliol D, Shen Y (2015) Fault estimation filter design for discrete-time descriptor systems. IET Control Theory Appl 9(10):1587–1594
  8. 8.
    Zhang K, Jiang B, Shi P, Xu J (2015) Fault estimation observer design for discrete-time systems in finite-frequency domain. Int J Robust Nonlinear Control 25(9):1379–1398
  9. 9.
    Wang Y, Puig V, Cembrano G (2018) Robust fault estimation based on zonotopic Kalman observer for discrete-time descriptor systems. Int J Robust Nonlinear Control 28(16):5071–5086
  10. 10.
    Wang Y, Wang Z, Puig V, Cembrano G (2017) Zonotopic fault estimation filter design for discrete-time descriptor systems. In: 20th IFAC world congress, Toulouse, France, pp 5211–5216
  11. 11.
    Keller J (1999) Fault isolation filter design for linear stochastic systems. Automatica 35(10):1701–1706
  12. 12.
    Liu B, Si J (1997) Fault isolation filter design for linear time-invariant systems. IEEE Trans Autom Control 42(5):704–707
  13. 13.
    Combastel C (2015) Zonotopes and Kalman observers: gain optimality under distinct uncertainty paradigms and robust convergence. Automatica 55:265–273
  14. 14.
    Koenig D (2005) Unknown input proportional multiple-integral observer design for linear descriptor systems: application to state and fault estimation. IEEE Trans Autom Control 50(2):212–217
  15. 15.
    Wang Z, Shi P, Lim C (2017) Robust fault estimation observer in the finite frequency domain for descriptor systems. Int J Control 1590–1599

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Department of Automatic Control, Institut de Robòtica i Informàtica Industrial, CSIC-UPCUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.College of AutomationHarbin Engineering UniversityHarbinP. R. China
  3. 3.Department of Electrical and Electronic EngineeringThe University of MelbourneMelbourneAustralia

Personalised recommendations