Browse by Subject "state estimation"

  • Ghiotto, Shane (2014-05-30)
    In a recent work it is shown that importance sampling can be avoided in the particle filter through an innovation structure inspired by traditional nonlinear filtering combined with optimal control formalisms. The resulting ...

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  • Niemira, William (2013-08-22)
    It is critical that state estimators used in the power grid output accurate results even in the presence of erroneous measurement data. Traditional bad data detection is designed to perform well against isolated random ...

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  • Butala, Mark D. (2011-01-14)
    The statistical inference of a hidden Markov random process is a problem encountered in numerous signal processing applications including dynamic tomography. In dynamic tomography, the goal is to form images of an ...

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