Gain-Scheduled Fault Detection Filter For Discrete-time LPV Systems

L. P. Carvalho, J. M. Palma, T. E. Rosa, B. Jayawardhana, O. L.V. Costa

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
22 Downloads (Pure)


The present work investigates a fault detection problem using a gain-scheduled filter for discrete-time Linear Parameter Varying systems. We assume that the scheduling parameter cannot be directly measured but, instead, it is estimated. On the one hand, this assumption imposes the challenge that the fault detection filter should perform properly even when using an inexact parameter but, on the other, it avoids the burden associated with the design of a complex estimation process for this parameter. Three design approaches are proposed, namely, the H2, H∞, and mixed H2 / H∞ gain-scheduled Fault Detection Filters which are designed via Linear Matrix Inequalities. We also provide numerical simulations to illustrate the applicability and performance of the proposed novel methods.

Original languageEnglish
Pages (from-to)143349-143365
Number of pages17
JournalIEEE Access
Publication statusPublished - 18-Oct-2021


  • Electronic mail
  • Estimation
  • Fault detection
  • Fault Detection and Isolation
  • H∞ gain-scheduled filter
  • H2 gain-scheduled filter
  • LPV systems
  • Observers
  • Symmetric matrices
  • System dynamics
  • Time-varying systems

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