Articles with "computational burden" as a keyword



Lyapunov model predictive control to optimise computational burden, reference tracking and THD of three‐phase four‐leg inverter

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; mpc; control; predictive control ... See more keywords

Balancing efficacy and computational burden: weighted mean, multiple imputation, and inverse probability weighting methods for item non-response in reliable scales

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; item non; response; imputation ... See more keywords

Hierarchical Single-Objective Model Predictive Control with Reduced Computational Burden in Cascaded H-Bridge Converter based on 3-level Flying Capacitor Unit Cell

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; cell; control; predictive control ... See more keywords

Improved Modulated Model Predictive Control: Reducing Total Harmonic Distortion, Computational Burden, and Parameter Sensitivity

Sign Up to like & get
recommendations!
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… read more here.

Keywords: model predictive; computational burden; control; improved modulated ... See more keywords

An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; remote sensing; superresolution; model ... See more keywords

A Novel Low Computational Burden Dual-Observer Phase-Locked Loop With Strong Disturbance Rejection Capability for More Electric Aircraft

Sign Up to like & get
recommendations!
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… read more here.

Keywords: low computational; computational burden; aircraft; pll ... See more keywords

Low Computational Burden Model Predictive Control for Single-Phase Cascaded H-Bridge Converters Without Weighting Factor

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; burden model; control; weighting factor ... See more keywords

A Novel Synchronous Rectification Scheme With Low Computational Burden for LLC Resonant Converter in EV Charger Applications

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; charger; charger applications; llc ... See more keywords

Low Computational Burden Adaptive Overcurrent Protection for Active Distribution Networks

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; protection; active distribution; distribution networks ... See more keywords

Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process

Sign Up to like & get
recommendations!
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… read more here.

Keywords: computational burden; metamodeling methods; health; economics ... See more keywords