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Published in 2019 at "IET Power Electronics"
DOI: 10.1049/iet-pel.2018.5732
Abstract: Due to the evolution of high processing microprocessors, the model predictive control (MPC) has been widely used in power electronic applications. In spite of simplicity, flexibility and fast dynamic response, the conventional MPC (C-MPC) has…
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Keywords:
computational burden;
mpc;
control;
predictive control ... See more keywords
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Published in 2024 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocae217
Abstract: Abstract Importance Scales often arise from multi-item questionnaires, yet commonly face item non-response. Traditional solutions use weighted mean (WMean) from available responses, but potentially overlook missing data intricacies. Advanced methods like multiple imputation (MI) address…
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Keywords:
computational burden;
item non;
response;
imputation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175488
Abstract: This paper presents a control algorithm to reduce the computational burden of model predictive control in a grid-connected single-phase N-cell cascaded flying capacitor H-bridge (CFCHB) multilevel converter of a solid-state transformer. The proposed control algorithm…
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Keywords:
computational burden;
cell;
control;
predictive control ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3569444
Abstract: This paper presents an improved modulated model predictive control (M2PC) method, which is implemented on synchronous reluctance motor (SynRM) drives, significantly enhancing performance by streamlining the control algorithm. Unlike conventional M2PC approaches that suffer from…
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Keywords:
model predictive;
computational burden;
control;
improved modulated ... See more keywords
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Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2984589
Abstract: Superresolution (SR) has provided an effective solution to the increasing need for high-resolution images in remote sensing applications. Among various SR methods, deep learning-based SR (DLSR) has made a significant breakthrough. However, supervised DLSR methods…
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Keywords:
computational burden;
remote sensing;
superresolution;
model ... See more keywords
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Published in 2021 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/tia.2021.3075188
Abstract: In the past two decades, much research and industry effort has been dedicated to transportation electrification. In particular, aerospace industry, with the more electric aircraft (MEA) revolution, is shifting toward the usage of electrical in…
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Keywords:
low computational;
computational burden;
aircraft;
pll ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3167133
Abstract: In this article, a low computational burden model predictive control (MPC) strategy without weighting factor is proposed for the single-phase cascaded H-bridge CHB converters. To reduce the switching state candidates, a hierarchy control algorithm is…
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Keywords:
computational burden;
burden model;
control;
weighting factor ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3215445
Abstract: In EV charger applications, high voltage level and high computational burden caused by multiple charging modes bring serious challenges to the synchronous rectification (SR) of LLC resonant converter. Conventional SR schemes can be classified as…
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Keywords:
computational burden;
charger;
charger applications;
llc ... See more keywords
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Published in 2023 at "International Transactions on Electrical Energy Systems"
DOI: 10.1155/2023/1538306
Abstract: Conventional distribution networks have evolved into active distribution networks due to the high penetration of distributed energy resources. These new networks have several protection issues; some are related to the high fault and load current…
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Keywords:
computational burden;
protection;
active distribution;
distribution networks ... See more keywords
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Published in 2020 at "Medical Decision Making"
DOI: 10.1177/0272989x20912233
Abstract: Metamodels can be used to reduce the computational burden associated with computationally demanding analyses of simulation models, although applications within health economics are still scarce. Besides a lack of awareness of their potential within health…
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Keywords:
computational burden;
metamodeling methods;
health;
economics ... See more keywords