• DocumentCode
    3303421
  • Title

    Measures of unobservability

  • Author

    Krener, Arthur J. ; Ide, Kayo

  • Author_Institution
    Dept. of Appl. Math., Naval Postgrad. Sch., Monterey, CA, USA
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    6401
  • Lastpage
    6406
  • Abstract
    An observed nonlinear dynamics is observable if the mapping from initial condition to output trajectory is one to one. The standard tool for checking observability is the observability rank condition but this only gives a yes or no answer. It does not measure how observable or unobservable the system is. Moreover it requires the ability to differentiate the dynamics and the observations. We introduce new tools, the local unobservability index and the local estimation condition number, to measure the degree of observability or unobservability of a system. To compute these one only needs the ability to simulate the system. We apply these tools to find the best location to put a sensor to observe the flow induced by two point vortices.
  • Keywords
    observability; estimation condition number; observability checking; observability rank condition; observed nonlinear dynamics; output trajectory; unobservability index; unobservability measures; Computational modeling; Linear approximation; Nonlinear dynamical systems; Nonlinear systems; Observability; Trajectory;
  • 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.2009.5400067
  • Filename
    5400067