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Neural Networks-Generalized Predictive Control for MIMO Grid-Connected Z-Source Inverter Model
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| Author(s) |
Herminio MARTINEZ-GARCIA |
| Abstract |
This paper presents a neural network-generalized predictive control (NN-GPC) for a single-phase grid-connected z-source inverter. The NN forecasts the predictive horizon, and the conventional GPC algorithm calculates the control horizon. The results verify the proposed NN-GPC effectively enhances the dynamic operation of z-source inverter regarding the non-minimum phase characteristics of these converters. |
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| Filename: | 0155-epe2022-full-21180961.pdf |
| Filesize: | 419.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2023-09-24 by System |
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