Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control

A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2022).

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IEEE Transactions on Power Electronics
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Brosch A, Wallscheid O, Böcker J. Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control. IEEE Transactions on Power Electronics. Published online 2022. doi:10.1109/tpel.2022.3206598
Brosch, A., Wallscheid, O., & Böcker, J. (2022). Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2022.3206598
@article{Brosch_Wallscheid_Böcker_2022, title={Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control}, DOI={10.1109/tpel.2022.3206598}, journal={IEEE Transactions on Power Electronics}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Brosch, Anian and Wallscheid, Oliver and Böcker, Joachim}, year={2022} }
Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control.” IEEE Transactions on Power Electronics, 2022. https://doi.org/10.1109/tpel.2022.3206598.
A. Brosch, O. Wallscheid, and J. Böcker, “Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control,” IEEE Transactions on Power Electronics, 2022, doi: 10.1109/tpel.2022.3206598.
Brosch, Anian, et al. “Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control.” IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE), 2022, doi:10.1109/tpel.2022.3206598.

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