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Fault detection for networked control systems based on dynamic feedback observer

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For the networked control system with both Markov random delay and packet dropout, a fault detection method based on dynamic feedback observer is studied. The networked control system is modeled as a Markov jump system. With the output error as the input signal, the dynamic feedback observer generates the dynamic residual signal and feed it back to the equations of state estimation and output estimation. The problem of fault detection filter design is transformed to the H filtering problem. The solvable condition of the fault detection filter and further the solutions are derived in terms of LMI. A numerical example illustrates the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2013 25th Chinese Control and Decision Conference, CCDC 2013
Pages4995-4998
Number of pages4
DOIs
StatePublished - 2013
Event2013 25th Chinese Control and Decision Conference, CCDC 2013 - Guiyang, China
Duration: 25 May 201327 May 2013

Publication series

Name2013 25th Chinese Control and Decision Conference, CCDC 2013

Conference

Conference2013 25th Chinese Control and Decision Conference, CCDC 2013
Country/TerritoryChina
CityGuiyang
Period25/05/1327/05/13

Keywords

  • Dynamic feedback observer
  • Fault detection
  • LMI
  • Networked control system

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