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State of the Art of Finite Control Set Model Predictive Control in Power Electronics

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Rodriguez, Jose, Kazmierkowski, Marian P., Espinoza, Jose R., Zanchetta, Pericle, Abu-Rub, Haitham, Young, Hector A., Rojas, Christian A.·2013·IEEE Transactions on Industrial Informatics

Abstract

This paper addresses to some of the latest contributions on the application of Finite Control Set Model Predictive Control (FCS-MPC) in Power Electronics. In FCS-MPC , the switching states are directly applied to the power converter, without the need of an additional modulation stage. The paper shows how the use of FCS-MPC provides a simple and efficient computational realization for different control objectives in Power Electronics. Some applications of this technology in drives, active filters, power conditioning, distributed generation and renewable energy are covered. Finally, attention is paid to the discussion of new trends in this technology and to the identification of open questions and future research topics.

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Metadata

Authors
Rodriguez, J., Kazmierkowski, M. P., Espinoza, J. R., Zanchetta, P., Abu-Rub, H., Young, H. A., & Rojas, C. A.
Venue
IEEE Transactions on Industrial Informatics
Published
2013-05
Volume
9
Issue
2
Pages
1003-1016
ISSN
  • 1551-3203 (ISSN-L)
  • 1941-0050
OpenAlex
W1982588147
Cited by
1,802
References
0
FWCI
42.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: State of the Art of Finite Control Set Model Predictive Control in Power Electronics. https://app.cochat.ai/papers/10.1109/tii.2012.2221469
The paper
Rodriguez, J., Kazmierkowski, M. P., Espinoza, J. R., Zanchetta, P., Abu-Rub, H., Young, H. A., & Rojas, C. A. (2013). State of the Art of Finite Control Set Model Predictive Control in Power Electronics. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2012.2221469

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.