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Published in 2021 at "steel research international"
DOI: 10.1002/srin.202000719
Abstract: The proper process parameter of dephosphorization is a key problem in actual steelmaking production. This article presents a rule set model combining a k‐means method and a decision tree model, which can extract the rule…
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Keywords:
set model;
rule;
dephosphorization;
rule set ... See more keywords
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Published in 2018 at "Electrical Engineering"
DOI: 10.1007/s00202-017-0606-3
Abstract: This paper proposes a finite set model predictive control (FS-MPC) system for active front-end (AFE) converters in combination with an extended Kalman filter (EKF) for on-line parameter estimation to overcome the issues of parameter uncertainty…
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Keywords:
model predictive;
line;
finite set;
model ... See more keywords
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Published in 2021 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-020-01169-5
Abstract: Multi-scale rough set has become one of the hot research topics in rough set. In this article, from the point of view of granule, we first give the definition of the scale relationship between two…
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Keywords:
scale covering;
rough set;
based multi;
multi scale ... See more keywords
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Published in 2021 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.07.025
Abstract: Abstract In this paper, a general polygonal convex set model and clustering polygonal convex set model are proposed for more reasonably quantifying non-probabilistic uncertainties. Firstly, through the principal component analysis of uncertain samples, a new…
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Keywords:
non probabilistic;
set model;
polygonal convex;
convex set ... See more keywords
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Published in 2019 at "Economics Letters"
DOI: 10.1016/j.econlet.2019.03.018
Abstract: Abstract This paper proposes a fast and reliable computation algorithm for the random consideration set model. A simple and numerically tractable representation of the model is developed to reduce the computational burden. I show that…
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Keywords:
set model;
consideration set;
random consideration;
computation algorithm ... See more keywords
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Published in 2021 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2020.12.015
Abstract: Abstract In this paper, improved finite control set model predictive voltage control (FCS-MPVC) is proposed for the distributed energy resource (DER) in AC islanded microgrid (MG). Typically, AC MGs have two or more power electronic-based…
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Keywords:
set model;
control;
finite control;
control set ... See more keywords
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Published in 2025 at "IET Power Electronics"
DOI: 10.1049/pel2.70023
Abstract: Finite Control Set Model Predictive Control (FCS‐MPC) is widely used in Modular Multilevel Converters (MMC), but it faces challenges such as heavy computational burden and the complexity of designing weighting factors. Unbalanced grid voltage conditions…
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Keywords:
model predictive;
control;
voltage;
finite control ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3049279
Abstract: In this paper, a finite control set model predictive direct power control (FCS-MPDPC) method based on satisfactory optimization, for single-phase three-level PWM rectifier, is proposed to achieve global optimization that takes into account all its…
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Keywords:
optimization;
pwm rectifier;
set model;
control ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3605731
Abstract: The application of finite control set model-free predictive control (FCS-MFPC) in power electronics eliminates the controller’s dependence on an explicit system model. However, high computational requirements hinder its practical implementation in power electronic systems. Furthermore,…
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Keywords:
model free;
mfpc;
control;
free predictive ... See more keywords
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Published in 2021 at "IEEE Journal of Emerging and Selected Topics in Power Electronics"
DOI: 10.1109/jestpe.2021.3062868
Abstract: Finite control set model predictive control (FCS-MPC), especially the reference-voltage-vector-based model predictive control (MPC) (RVV-MPC), considers a limited set of input vectors. However, the control performance is not satisfactory enough due to a severe lack…
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Keywords:
set model;
mpc;
control;
reference ... See more keywords
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Published in 2023 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2022.3193500
Abstract: In this letter, we propose a novel approach to integrating disturbance rejection within a finite-control-set model-predictive-control (FCS-MPC) framework for current/torque control of an induction machine (IM). The technique derived utilizes disturbance estimation, but, by utilizing…
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Keywords:
set model;
finite control;
induction machine;
control set ... See more keywords