Distributed state estimation for sensor networks with randomly occurring sensor saturations

Jinling Liang, Wei Xing Zheng

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    1 Citation (Scopus)

    Abstract

    This paper is concerned with the problem of distributed state estimation for a class of sensor networks characterized by the discrete-time dynamical systems. The discrete-time model with mixed time delays is used to express the target system. Outputs of the sensors are measured under randomly occurring saturations caused by physical restrictions of the sensors. By utilizing output measurements from each individual sensor and its neighboring sensors, we design distributed state estimators with a view to approximating the states of the target system in a distributed manner. Moreover, we show that the estimation error systems are globally asymptotically stable in the mean square, and also provide the explicit expressions of the distributed estimator gains.
    Original languageEnglish
    Title of host publicationProceedings 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014, Melbourne, Vic., 1-5 June 2014
    PublisherIEEE
    Pages2305-2308
    Number of pages4
    ISBN (Print)9781479934324
    DOIs
    Publication statusPublished - 2014
    EventIEEE International Symposium on Circuits and Systems -
    Duration: 1 Jun 2014 → …

    Publication series

    Name
    ISSN (Print)0271-4310

    Conference

    ConferenceIEEE International Symposium on Circuits and Systems
    Period1/06/14 → …

    Keywords

    • discrete-time systems
    • distributed systems
    • sensor networks
    • state estimation

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