The DOI matches its Crossref record.
Model Predictive Control: A Review of Its Applications in Power Electronics
Open accessAbstract
Model-based predictive control (MPC) for power converters and drives is a control technique that has gained attention in the research community. The main reason for this is that ?although MPC presents high computational burden, it can easily handle multivariable case and system constraints and nonlinearities in a very intuitive way. Taking advantage of that, MPC has been successfully used for different applications such as an active front end (AFE), power converters connected to resistor?inductor RL loads, uninterruptible power supplies, and high-performance drives for induction machines, among others. This article provides a review of the application of MPC in the power electronics area.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Dekka, A., Wu, B., Fuentes, R. L., Perez, M., & Zargari, N. R. (2017) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2017.2742938 · Cited by 576
Leon, J. I., Vazquez, S., & Franquelo, L. G. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2726583 · Cited by 481
Self-citationLeon, J. I., Kouro, S., Franquelo, L. G., Rodriguez, J., & Wu, B. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2519321 · Cited by 462
Self-citationEnergy Management and Optimization Methods for Grid Energy Storage Systems
Byrne, R. H., Nguyen, T. A., Copp, D. A., Chalamala, B. R., & Gyuk, I. (2018) · IEEE Access · doi:10.1109/access.2017.2741578 · Cited by 406
Shan, Y., Hu, J., Chan, K. W., Fu, Q., & Guerrero, J. M. (2019) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2018.2873390 · Cited by 283
Metadata
- Authors
- Vazquez, S., Leon, J. I., Franquelo, L. G., Rodriguez, J., Young, H. A., Marquez, A., & Zanchetta, P.
- Venue
- IEEE Industrial Electronics Magazine
- Published
- 2014-03
- Volume
- 8
- Issue
- 1
- Pages
- 16-31
- ISSN
- 1932-4529 (ISSN-L)
- OpenAlex
- W2100267011
- Cited by
- 1,191
- References
- 0
- FWCI
- 36.44
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Model Predictive Control: A Review of Its Applications in Power Electronics. https://app.cochat.ai/papers/10.1109/mie.2013.2290138
- The paper
- Vazquez, S., Leon, J. I., Franquelo, L. G., Rodriguez, J., Young, H. A., Marquez, A., & Zanchetta, P. (2014). Model Predictive Control: A Review of Its Applications in Power Electronics. IEEE Industrial Electronics Magazine. https://doi.org/10.1109/mie.2013.2290138
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
