A Modified Bayesian Filter for Randomly Delayed Measurements

The traditional Bayesian approximation framework for filtering in discrete time systems assumes that the measurement is available at every time instant. But in practice, the measurements could be randomly delayed. In the literature, the problem has been examined and solution is provided by restricti...

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Bibliographic Details
Published in:	IEEE transactions on automatic control Vol. 62; no. 1; pp. 419 - 424
Main Authors:	Singh, Abhinoy Kumar, Date, Paresh, Bhaumik, Shovan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation Bayes methods Bayesian analysis Bayesian framework of filtering Covariance matrix cubature quadrature Kalman filter Current measurement Delay Delays Discrete time systems Filtration Kalman filters Loss measurement Mathematical analysis Mathematical model nonlinear filtering Quadratures random delay in measurements
ISSN:	0018-9286, 1558-2523
Online Access:	Get full text
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