Evaluation of Nonlinear ARX System Identification Technique on Modeling Crosstalk
| Autor: | Muhammad Imam Sudrajat, Muhammad Ammar Wibisono, Hermes Loschi, Niek Moonen, Frank Leferink |
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| Přispěvatelé: | Power Electronics, Digital Society Institute |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Zdroj: | 2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI), 210-215 STARTPAGE=210;ENDPAGE=215;TITLE=2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI) |
| Popis: | Estimating crosstalk appropriately is very important in the process of mitigating electromagnetic interference. This study evaluates a black-box modeling technique named nonlinear autoregressive with exogenous inputs (NARX) on crosstalk modeling application, especially crosstalk due to random pulse width modulation. The model is developed using the input and output data from the measurement as regressor inputs. For validation, the mean squared error of this model is calculated by comparing the model output with the real measurement output. For evaluation, the model performance also was compared to a Spice-based SACAMOS model. Although less flexible than the Spice model, NARX model can represent the signal on the victim cable well with a small mean squared error value. |
| Databáze: | OpenAIRE |
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