Results 171 to 180 of about 2,592 (225)

Glucose-1,6-bisphosphate: A new gatekeeper of cerebral mitochondrial pyruvate uptake. [PDF]

Mol Metab
Safari MS, Woerl P, Garmsiri C, Weber D, Kwiatkowski M, Hotze M, Kuenkel L, Lang L, Erlacher M, Gelpi E, Hainfellner JA, Baier G, Baier-Bitterlich G, Zur Nedden S.   +13 more
europepmc   +1 more source

Comparative immune profiling of pancreatic ductal adenocarcinoma progression among South African patients. [PDF]

BMC Cancer
Elebo N, Abdel-Shafy EA, Omoshoro-Jones JAO, Nsingwane Z, Hussein AAA, Smith M, Candy G, Cacciatore S, Fru P, Nweke EE.   +9 more
europepmc   +1 more source

Tumor suppressors RBL1 and PTEN are epigenetically silenced in IPF mesenchymal progenitor cells by a CD44/Brg1/PRMT5 regulatory complex.

Am J Physiol Lung Cell Mol Physiol
Yang L, Xia H, Smith K, Gilbertsen AJ, Jbeli AH, Abrahante JE, Bitterman PB, Henke CA.   +7 more
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Control approaches of power electronic converter interfacing grid-tied PMSG-VSWT system: A comprehensive review.

Heliyon
Shutari H, Ibrahim T, Bin Mohd Nor N, Alharthi YZ, Abdulrab H.   +4 more
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Enhanced Switching Frequency Control in FCS-MPC for Power Converters

IEEE Transactions on Industrial Electronics, 2021
Finite control set model predictive control (FCS-MPC) chooses at each sampling period the input control vector state without using a modulator. Therefore, it belongs to the direct control family. As a consequence, the conventional implementation of FCS-MPC presents variable switching frequency. This makes difficult the design of the output filter. This
Matias Aguirre, Samir Kouro, Christian A Rojas   +2 more
exaly   +2 more sources

Switching Frequency Regulation for FCS-MPC Based on a Period Control Approach

IEEE Transactions on Industrial Electronics, 2018
One of the main drawbacks with the use of finite control set model predictive control (FCS-MPC) in power converters is the variable switching frequency. When not taken into consideration, it can vary randomly depending mainly on the operating point of the system and the sampling time.
Matias Aguirre, Samir Kouro, Christian A Rojas   +2 more
exaly   +2 more sources

Event-Triggered Neural-Predictor-Based FCS-MPC for MMC

IEEE Transactions on Industrial Electronics, 2022
Traditional predictive control schemes dominated the research field of numerous power electronic applications over the past years, since they usually lead to control solutions with good dynamic and steady results. However, these solutions strongly depend on the available knowledge of the control system (e.g., accurate modeling information), which often
Xing Liu 0008, Lin Qiu, Wenjie Wu, Jien Ma, Youtong Fang, Zhouhua Peng, Dan Wang 0001   +6 more
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The FCS-MPC research for a new inverter

International Journal of Electronics Letters, 2014
Founding an accurate mathematical model for power electronic circuit is the primary work in order to design a superior controller. Considering that conventional switching function model only describes controlled transition, while ignored the conditional transition of the circuit, this paper founds a more accurate mixed logical dynamic (MLD) model for a
Ning Li, Ying-Hui Li, Xi-Hua Zhu, Hong-Li Hei   +3 more
openaire   +1 more source

FCS-MPC of Grid-Connected 9-Level Crossover Switches Cell Inverter

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
In this paper, a finite-control-set model predictive controller (FCS-MPC) is designed for a grid-connected single-phase crossover switches cell (CSC) multilevel inverter (MLI). The CSC inverter is a modified 3-cell packed-U-cells (PUC) MLI by adding two crossover switches between the two DC-link and the flying capacitor.
Alamera Nouran Alquennah, Mohamed Trabelsi 0001, Hani Vahedi   +2 more
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Bayesian optimization of FCS-MPC Parameters for Reduction of Induction Motor Electromagnetic Noise

2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), 2020
Acoustic noise is an issue associated with operation of electric drives. Using an inverter in variable speed drives usually increases the acoustic noise. The problem has been recently addressed using finite control set model predictive control, where the acoustic model of the drive was obtained by identification.
Michal Kroneisl, Václav Smídl
openaire   +1 more source