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  • Distributed average filtering for sensor networks with sensor saturation

    Author(s)
    Zhang, Hao
    Yan, Huaicheng
    Yang, Fuwen
    Chen, Qijun
    Griffith University Author(s)
    Yang, Fuwen
    Year published
    2013
    Metadata
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    Abstract
    This study addresses the distributed average set-membership filtering of spatially varying processes using sensor networks. The system under consideration contains sensor saturation in the presence of unknown-but-bounded process and measurement noise in the sensor network. The so-called distributed average set-membership filtering is defined to quantify bounded consensus regarding the estimation error. A sufficient condition for distributed average set-membership filtering parameter design is established in terms of a set of time-varying linear matrix inequalities. A recursive algorithm is developed for computing the estimator, ...
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    This study addresses the distributed average set-membership filtering of spatially varying processes using sensor networks. The system under consideration contains sensor saturation in the presence of unknown-but-bounded process and measurement noise in the sensor network. The so-called distributed average set-membership filtering is defined to quantify bounded consensus regarding the estimation error. A sufficient condition for distributed average set-membership filtering parameter design is established in terms of a set of time-varying linear matrix inequalities. A recursive algorithm is developed for computing the estimator, controller gains and the ellipsoid that guarantees to contain the true state. Simulation results are provided to demonstrate the effectiveness of the proposed method.
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    Journal Title
    IET Control Theory and Applications
    Volume
    7
    Issue
    6
    DOI
    https://doi.org/10.1049/iet-cta.2012.0558
    Subject
    Applied mathematics
    Mechanical engineering
    Publication URI
    http://hdl.handle.net/10072/173445
    Collection
    • Journal articles

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