Robust fault detection of linear systems over networks with bounded packet loss

Bo Liu, Yuanqing Xia*, Yi Yang, Mengyin Fu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

This paper is devoted to the fault detection of linear systems over networks with bounded packet loss. The inputs and the measurements of the monitored system are transmitted to a fault detection node over an unreliable network with bounded packet loss. The packet loss process is assumed to be arbitrary or Markovian in this paper. Due to the bounded packet loss process, the monitored system is modeled as a switched system by re-sampling it at each time instant when the measurements arrive at the fault detection node. A fault detection filter for this switched system is designed in this paper to satisfy some performance constraints. The filter updates only at the time instant when new measurements arrive at the fault detection node and the input data packets lost are considered as external disturbances. Finally, the numerical example and simulations have demonstrated the usefulness of the proposed method.

Original languageEnglish
Pages (from-to)2480-2499
Number of pages20
JournalJournal of the Franklin Institute
Volume349
Issue number7
DOIs
StatePublished - Sep 2012
Externally publishedYes

Bibliographical note

Funding Information:
The authors would like to thank the referees for their valuable and helpful comments which have improved the presentation. The work of Yuanqing Xia was supported by the National Basic Research Program of China (973 Program) ( 2012CB720000 ), the National Natural Science Foundation of China ( 60974011 ), Program for New Century Excellent Talents in University of China ( NCET-08-0047 ), the Ph.D. Programs Foundation of Ministry of Education of China ( 20091101110023, 20111101110012 ), and Program for Changjiang Scholars and Innovative Research Team in University , and Beijing Municipal Natural Science Foundation ( 4102053, 4101001 ).

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Applied Mathematics

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