• DocumentCode
    114191
  • Title

    Analysis and verification of the diagnosability of Hybrid Systems

  • Author

    Diene, Oumar ; Silva, Eduardo R. ; Moreira, Marcos V.

  • Author_Institution
    COPPE-Electr. Eng. Program, Fed. Univ. of Rio de Janeiro, Ilha do Fundão, Brazil
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The diagnosability analysis proposed for Discrete Event Systems (DES) can be extended to Hybrid Systems (HS) which are systems with combined discrete and continuous behavior. In this paper, an approach for the diagnosability analysis of hybrid systems is proposed, based on the combination of the diagnosability of the underlying DES and the distinguishability of the continuous modes of the HS. The main idea is to build an observer of the underlying DES enriched with new events associated to the distinguishability of the continuous variables. A definition of diagnosability of HS and a method to verify if a HS is diagnosable, using a hybrid diagnoser called clustered diagnoser, are also introduced.
  • Keywords
    discrete event systems; fault diagnosis; DES; HS; clustered diagnoser; continuous behavior; diagnosability analysis; diagnosability verification; discrete behavior; discrete event systems; hybrid diagnoser; hybrid systems; Automata; Clustering algorithms; Discrete-event systems; Fault diagnosis; Mathematical model; Observers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039350
  • Filename
    7039350