• DocumentCode
    3114898
  • Title

    An extended hierarchical framework for definitions of diagnosability of discrete event systems

  • Author

    Zhao, Xiangfu ; Ouyang, Dantong

  • Author_Institution
    Key Lab. of Symbolic Comput. & Knowledge Eng., Jilin Univ., Changchun, China
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1966
  • Lastpage
    1971
  • Abstract
    Model-based diagnosis of discrete event systems is more and more active in artificial intelligence. In this paper, diagnosability analysis of discrete event systems is concerned, which is a very important step before on line diagnosing discrete event systems in general. Firstly, an extended hierarchical framework for definitions of diagnosability of discrete event systems is given, according to their inner restriction. Next, some formal comparisons among them are presented, thanks to which, we can further understand the relations between related definitions. Finally, some future work about diagnosability of discrete event systems is discussed as well.
  • Keywords
    artificial intelligence; discrete event systems; artificial intelligence; diagnosability analysis; discrete event systems; extended hierarchical framework; model-based diagnosis; Artificial intelligence; Computer science; Computer science education; Control engineering; Discrete event systems; Educational technology; Knowledge engineering; Laboratories; Quantization; Systems engineering education; Model-based diagnosis; diagnosability; discrete event systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811578
  • Filename
    4811578