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Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4913
Abstract: This article presents a robust adaptive controller for electrically driven robots using Bernstein polynomials as universal approximator. The lumped uncertainties including unmodeled dynamics, external disturbances, and nonimplemented control signals (they assumed as a function of…
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Keywords:
polynomials universal;
bernstein polynomials;
universal approximator;
using bernstein ... See more keywords
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Published in 2018 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2017.2778313
Abstract: This letter presents a computational framework to efficiently generate feasible and optimal trajectories for differentially flat autonomous vehicle systems. We formulate the optimal motion planning problem as a continuous-time optimal control problem, and approximate it…
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Keywords:
using bernstein;
differentially flat;
optimal motion;
motion planning ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24030315
Abstract: The central focus of this paper is upon the alleviation of the boundary problem when the probability density function has a bounded support. Mixtures of beta densities have led to different methods of density estimation…
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Keywords:
using bernstein;
finite gaussian;
mixture model;
gaussian mixture ... See more keywords