A Simplified Finite-Control-Set Model-Predictive Control for Power Converters
By C. Xia, Tao Liu, Tingna Shi, Zhanfeng Song. IEEE Transactions on Industrial Informatics, 2014
380 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/40c0017d87d312d30cea7a830737be75afb1e77b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Sergio Vazquez
- Leopoldo García Franquelo
- Marco E. Rivera
- José Raúl Rodríguez Rodríguez
- Nils Hoffmann
- Margarita Norambuena
- Niklas Panten
- Friedrich Wilhelm Fuchs
In Electrical and Electronic Engineering
- Sergio Vazquez
- Leopoldo García Franquelo
- José Raúl Rodríguez Rodríguez
- Marco E. Rivera
- Margarita Norambuena
- Nils Hoffmann
- Friedrich Wilhelm Fuchs
- Tobias Geyer
Citations in the corpus
- Finite Control Set Model Predictive Current Control for Grid-Connected Voltage-Source Converters With LCL Filters: A Study Based on Different State Feedbacks (2016, background): “Consequently, FCS-MPC provides the potential to optimize switching power losses and their distribution in complex converter topologies by directly manipulating the semiconductors switching states [24], [25].”
- Model Predictive Control for Power Converters and Drives: Advances and Trends (2017, background): “of transforming the cost function to an equivalent optimization problem where the variables involved are an equivalent output voltage reference u∗ and the possible output voltage vectors un [103], [104].”