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Optimal robust fault detection for networked flight control systems with Markovian packet dropouts

  • School of Automation Science and Electrical Engineering

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

Abstract

In this article, the fault detection problem for the networked flight control systems with packet dropout is investigated. The networked flight control systems with periodic packet dropouts are treated as a varying sampling rate system. Refer to the non-periodic packet dropout that could be described as a Markov process, the varying sampling rate networked control system could be farther modeled as a discrete-time Markov jump linear system. Based on this model, considering a more general situation that the transition probabilities are partially known, a fault detection filter is established whose robust performance index is optimal. Meanwhile the corresponding fault detection problem can be transformed to an LMI optimization problem, and sufficient conditions to solve this problem are simultaneity derived. Finally, a networked flight control system is considered to validate the effectiveness and potential of the proposed method.

Original languageEnglish
Title of host publication2013 25th Chinese Control and Decision Conference, CCDC 2013
Pages4941-4946
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
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

  • Fault detection
  • Markovian jump systems
  • Networked control systems
  • partially known transition probabilities

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