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Observation of linear time-invariant systems with Lebesgue sampling

  • Jaime A. Moreno
  • , Manuel J. Betancur
  • , Martín A. Tamayo

    Research output: Chapter in Book/Conference proceedingConference and proceedingspeer-review

    4 Scopus citations

    Abstract

    The usual methods for state estimation of a continuous time system require the precise value of the output variable at all instants of time, or at equally spaced sampling instants. In this work an estimation technique is introduced for Linear Time Invariant (LTI) systems, when the only information on the output variable consists of the time instants at which it has reached certain fixed threshold value. This is motivated by the fact that these measurements can be easily obtained with robust and inexpensive binary sensors (detectors). It is shown that, theoretically, and despite of the scarcity of the information given by the detectors, it is possible to reconstruct, after a finite number of samples, the exact value of the state variable. This is true for almost every sampling time sequence, even if the Shannon sampling theorem is not satisfied.

    Original languageEnglish
    Title of host publication2010 IEEE ANDESCON Conference Proceedings, ANDESCON 2010
    DOIs
    StatePublished - 2010
    Event2010 IEEE ANDESCON Conference, ANDESCON 2010 - Bogota, Colombia
    Duration: 14 Sep 201017 Sep 2010

    Publication series

    Name2010 IEEE ANDESCON Conference Proceedings, ANDESCON 2010

    Conference

    Conference2010 IEEE ANDESCON Conference, ANDESCON 2010
    Country/TerritoryColombia
    CityBogota
    Period14/09/1017/09/10

    Keywords

    • Detections
    • Discrete event systems
    • Finite state machines (FSM)
    • Linear systems
    • State estimation

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