Optimized System Identification (SI) of Brushless DC (BLDC) motor using Data-Driven Modeling Methods
Abstract This study investigates the nonlinear dynamics of Brushless DC (BLDC) motors using the MATLAB/Simulink platform, emphasizing system identification through the Least Squares (LS) method and Nonlinear Autoregressive Network With Exogenous Inputs (NARX) models with variable regressors. Accurat...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2025-03-01
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| Seri Bilgileri: | Scientific Reports |
| Konular: | |
| Online Erişim: | https://doi.org/10.1038/s41598-025-93444-0 |
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