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Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3257681
Abstract: We propose an efficient and safe dynamic window approach (DWA) by using deterministic sampling. When the system dynamics have uncertainty, the control input includes errors, so that the DWA objective function becomes a random variable.…
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Keywords:
window approach;
dynamic window;
deterministic sampling;
using deterministic ... See more keywords
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Published in 2017 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2017.2650079
Abstract: Many modern approaches to nonlinear filtering employ sample-based density approximations. These approximations are generated via random (Monte Carlo methods) or deterministic sampling [say, the unscented Kalman filter (UKF)]. The advantages of deterministic techniques are their…
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Keywords:
circular estimation;
torus bivariate;
bivariate circular;
deterministic sampling ... See more keywords
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Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2937869
Abstract: In some significant applications such as data forecasting, the locations of missing entries cannot obey any non-degenerate distributions, questioning the validity of the prevalent assumption that the missing data is randomly chosen according to some…
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Keywords:
deterministic sampling;
matrix completion;
completion;
completion deterministic ... See more keywords