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IEEE Journal of Emerging and Selected Topics in Power Electronics, 2020
High step-up Y-source coupled-inductor impedance network boost dc–dc converter with common ground and continuous input current is presented in this paper.
Yuliang Ji +4 more
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High step-up Y-source coupled-inductor impedance network boost dc–dc converter with common ground and continuous input current is presented in this paper.
Yuliang Ji +4 more
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Impedance Network Impact on the Controller Design of the QZSI for PV Applications
Compel, 2020Due to its buck-boost capability with a continuous input current, the quasi-Z-source inverter (qZSI) is increasingly used for renewable energy, e.g., photovoltaic (PV) systems.
Wenjie Liu +4 more
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Physics-Informed Neural Network Based Online Impedance Identification of Voltage Source Converters
IEEE transactions on industrial electronics (1982. Print), 2023The wide integration of voltage source converters (VSCs) in power grids as the interface of renewables causes the converter-grid interaction stability challenge.
Mengfan Zhang, Q. Xu, Xiongfei Wang
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A Novel Impedance Matching Network Suitable for Designing High-Efficiency Power Amplifiers
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2023In this brief, a novel impedance matching network (IMN) for designing high-efficiency power amplifiers (PAs) is presented. With this method, the fundamental matching network (FMN) and the harmonic control network (HCN) are incorporated into a single ...
Chang Liu, Wen-hua Chen, F. Ghannouchi
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IEEE transactions on industrial electronics (1982. Print), 2023
Since the power supply is limited in ships, the impedance matching network is essential for a high-power underwater electroacoustic transduction system. However, the existing impedance matching networks can barely achieve full impedance matching under a ...
Jiawen Yu +5 more
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Since the power supply is limited in ships, the impedance matching network is essential for a high-power underwater electroacoustic transduction system. However, the existing impedance matching networks can barely achieve full impedance matching under a ...
Jiawen Yu +5 more
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A Hybrid Impedance Matching Network for Underwater Acoustic Transducers
IEEE transactions on power electronics, 2023The underwater acoustic transducer (UAT) is an electro-acoustic conversion device, which is a nonlinear reactive load. An impedance matching network is usually added between the power amplifier and the UAT.
W. Tian +6 more
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Drawbacks of impedance networks
International Journal of Circuit Theory and Applications, 2017SummaryThis paper presents the influence of voltage‐fed impedance networks, known as Z‐source and quasi–Z‐source, as well as some more sophisticated networks on the static and dynamic properties of voltage source inverters. The impedance networks increase output voltage distortions with the second harmonic of the fundamental harmonic and decrease the ...
Zbigniew Rymarski, Krzysztof Bernacki
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Compact Patch Rectennas Without Impedance Matching Network for Wireless Power Transmission
IEEE transactions on microwave theory and techniques, 2022In microwave wireless power receivers, impedance matching networks can maximize power transmission from RF to dc. However, they require circuit components and physical space to implement.
Changjun Liu +3 more
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IEEE transactions on industrial electronics (1982. Print), 2018
Converters with impedance source networks combine their one-stage energy conversion with the function as buck and boost converters. Due to this fact, they are very attractive to the dc–ac applications. Many literatures have focused on the stress analysis
Zipeng Liang +3 more
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Converters with impedance source networks combine their one-stage energy conversion with the function as buck and boost converters. Due to this fact, they are very attractive to the dc–ac applications. Many literatures have focused on the stress analysis
Zipeng Liang +3 more
semanticscholar +1 more source
Seismic Impedance Inversion Based on Residual Attention Network
IEEE Transactions on Geoscience and Remote Sensing, 2022Deep learning (DL) has achieved promising results for impedance inversion via seismic data. Generally, these networks, composed of convolution layers and residual blocks, tend to deliver good results with deep architectures.
Bangyu Wu, Qiao Xie, Baohai Wu
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