Quality evaluation of linear inequality constrained estimation by Monte Carlo sampling in parameter space
Sign Up to like & getrecommendations! Published in 2020 at "Survey Review"
DOI: 10.1080/00396265.2020.1713612
Abstract: Existing approaches that describe the quality of inequality constrained estimates are not sufficient to meet the demands of inequality constrained least-square problems. We reconstruct the existing Monte Carlo method by converting the sampling space from… read more here.
Keywords: quality; space; monte carlo; parameter space ... See more keywords
Unscented Recursive Filtering for Inequality Constrained Systems
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DOI: 10.1109/access.2019.2896770
Abstract: For nonlinear systems with state inequality constraints, the existing unscented recursive filtering methods utilize the constraint information in the sampling and update steps, rather than the prediction step. In practice, the constraints are known a… read more here.
Keywords: inequality; unscented recursive; inequality constrained; inequality constraints ... See more keywords