• DocumentCode
    3299019
  • Title

    Detectability of discrete event systems with dynamic event observation

  • Author

    Shu, Shaolong ; Lin, Feng

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    Our previous work considered detectability of discrete event systems which is to determine the current state and subsequent states of a system based on the event observation. We assume that the event observation is static, that is, if an event is observable, then all its occurrences are observable. This requires that all sensors be turned on all the time. However, in practical systems such as sensor networks, in order to reduce cost or save energy, the event observation often needs to be dynamic, that is, the occurrences of the same events may or may not be observable, depending on the state of the system. In this paper, we generalize static event observation into dynamic event observation and consider the detectability problem under the dynamic event observation. As before, we define four types of detectabilities. To check detectabilities, we construct the observer with exponential complexity. We can also construct a detector with polynomial complexity to check strong detectabilities. Dynamic event observation can be implemented in two possible ways: a passive observation and an active observation. For the active observation, we discuss how to find minimal event observation policies that preserve four types of detectabilities respectively.
  • Keywords
    computational complexity; discrete event systems; state estimation; detectability problem; discrete event systems; dynamic event observation; exponential complexity; polynomial complexity; state estimation; Batteries; Communication channels; Costs; Detectors; Discrete event systems; Event detection; Polynomials; Sensor systems; State estimation; Sufficient conditions; Discrete event systems; detectability; event observation; sensor activation; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399841
  • Filename
    5399841