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New Interval Observer-Based Fault Detection for Switched Systems

  • Chaima Zammali*
  • , Jérémy Van Gorp
  • , Zhenhua Wang
  • , Tarek Raïssi
  • *Corresponding author for this work
  • Conservatoire national des arts et métiers
  • School of Astronautics, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The primary focus of this chapter is to design a new interval observer-based Fault Detection (FD) method for a class of discrete-time switched systems subject to unknown but bounded state disturbances and measurement noise. The proposed technique is investigated to reduce the conservatism of gain matrices and to offer more degrees of design freedom by integrating weighted matrices in the structure of the FD observer. Using multiple quadratic Lyapunov functions (MQLF) with an average dwell time (ADT) control condition, novel solvable conditions are derived in terms of linear matrix inequalities (LMIs). Furthermore, the FD decision is based on residual intervals generated by the proposed interval observers. The efficiency of the proposed approach is highlighted through simulation results on an academic example.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages159-175
Number of pages17
DOIs
StatePublished - 2022
Externally publishedYes

Publication series

NameStudies in Systems, Decision and Control
Volume415
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

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