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Published in 2017 at "Quantum Information Processing"
DOI: 10.1007/s11128-017-1619-6
Abstract: Based on mixedness definition as $$M=1-\hbox {tr}\left( {\rho ^{2}}\right) $$M=1-trρ2, we obtain a new variance-based uncertainty equality along with an inequality for Hermitian operators of a single-qubit system. The obtained uncertainty equality can be used…
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Keywords:
uncertainty;
relation incompatible;
based uncertainty;
variance based ... See more keywords
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Published in 2019 at "Journal of Risk Research"
DOI: 10.1080/13669877.2019.1646316
Abstract: This short commentary is a response to recent published work by the European Food Safety Authority (EFSA). EFSA is an independent regulatory body that provides scientific evidence to decision-makers in order to advise on what…
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Keywords:
risk;
uncertainty;
uncertainty needed;
based uncertainty ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3095057
Abstract: In this paper a novel tuning procedure for Two-Degree-of-Freedom (2-DOF) PID controllers is proposed. The tuning methodology is based on an Uncertainty and Disturbance Estimator. As a result, an equivalent 2-DOF PID controller with simpler…
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Keywords:
uncertainty disturbance;
pid controller;
disturbance;
dof pid ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3183349
Abstract: The research object in this article is a single rotor compressor based on the interior permanent magnet synchronous motors with sensorless control, whose load fluctuates periodically with the mechanical angle. The periodically fluctuating loads can…
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Keywords:
speed;
sensorless control;
uncertainty disturbance;
control based ... See more keywords
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Published in 2021 at "Neural Computation"
DOI: 10.1162/neco_a_01372
Abstract: This letter introduces a new framework for quantifying predictive uncertainty for both data and models that rely on projecting the data into a gaussian reproducing kernel Hilbert space (RKHS) and transforming the data probability density…
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Keywords:
data models;
uncertainty;
toward kernel;
framework ... See more keywords
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Published in 2021 at "Symmetry"
DOI: 10.3390/sym13122285
Abstract: In order to rationally deal with the belief degree, Liu proposed uncertainty theory and refined into a branch of mathematics based on normality, self-duality, sub-additivity and product axioms. Subsequently, Liu defined the uncertainty process to…
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Keywords:
pricing method;
risk neutral;
based uncertainty;
uncertainty ... See more keywords