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Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2016.2531418
Abstract: 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…
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Keywords:
randomly delayed;
filter randomly;
bayesian filter;
time ... See more keywords
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Published in 2022 at "Scientia Iranica"
DOI: 10.24200/sci.2022.59433.6243
Abstract: : This article addresses the state estimation problem for dynamic systems with linear models wherein covariance matrices of the process and measurement noise are unknown and one step delay randomly occurs in the measurements. Due…
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Keywords:
adaptive kalman;
one step;
filter;
kalman filter ... See more keywords