Optimal Switching Sequence MPC for Hybrid Flying Capacitor Inverter

2021 ◽  
Author(s):  
Guillermo Huerta ◽  
Margarita Norambuena ◽  
Pablo Lezana ◽  
Andres Mora
Keyword(s):  
Optimal Switching ◽  
Switching Sequence

Predictive Optimal Switching Sequence Direct Power Control for Grid-Tied 3L-NPC Converters

2020 ◽  
pp. 1-1
Author(s):  
Andres Mora ◽  
Roberto Cardenas ◽  
Ricardo Aguilera ◽  
Alejandro Angulo ◽  
Pablo Lezana ◽  
...  
Keyword(s):  
Power Control ◽  
Optimal Switching ◽  
Direct Power ◽  
Direct Power Control ◽  
Switching Sequence

scholarly journals Optimal switching sequence model predictive control for three‐phase Vienna rectifiers

2018 ◽  
Vol 12 (7) ◽  
pp. 1006-1013 ◽  
Author(s):  
Shiming Xie ◽  
Yao Sun ◽  
Mei Su ◽  
Jianheng Lin ◽  
Qiming Guang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Optimal Switching ◽  
Switching Sequence ◽  
Three Phase

scholarly journals Model Predictive Control of LC-Filtered Voltage Source Inverters With Optimal Switching Sequence

2021 ◽  
Vol 36 (3) ◽  
pp. 3422-3436
Author(s):  
Changming Zheng ◽  
Tomislav Dragicevic ◽  
Zhenbin Zhang ◽  
Jose Rodriguez ◽  
Frede Blaabjerg
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Voltage Source ◽  
Optimal Switching ◽  
Switching Sequence ◽  
Voltage Source Inverters

Computationally Efficient Cascaded Optimal Switching Sequence MPC for Grid-Connected Three-Level NPC Converters

2019 ◽  
Vol 34 (12) ◽  
pp. 12464-12475 ◽  
Author(s):  
Andres Mora ◽  
Roberto Cardenas-Dobson ◽  
Ricardo P. Aguilera ◽  
Alejandro Angulo ◽  
Felipe Donoso ◽  
...  
Keyword(s):  
Optimal Switching ◽  
Computationally Efficient ◽  
Switching Sequence

scholarly journals Optimal Switching Synthesis for Jump Linear Systems With Gaussian Initial State Uncertainty

2014 ◽  
Author(s):  
Kooktae Lee ◽  
Raktim Bhattacharya
Keyword(s):  
Linear Systems ◽  
Measurement Errors ◽  
Wasserstein Distance ◽  
Optimal Switching ◽  
Initial State ◽  
Jump Linear Systems ◽  
Switching Sequence ◽  
Mean Square Stability ◽  
State Uncertainty ◽  
The Mean

This paper provides a method to design an optimal switching sequence for jump linear systems with given Gaussian initial state uncertainty. In the practical perspective, the initial state contains some uncertainties that come from measurement errors or sensor inaccuracies and we assume that the type of this uncertainty has the form of Gaussian distribution. In order to cope with Gaussian initial state uncertainty and to measure the system performance, Wasserstein metric that defines the distance between probability density functions is used. Combining with the receding horizon framework, an optimal switching sequence for jump linear systems can be obtained by minimizing the objective function that is expressed in terms of Wasserstein distance. The proposed optimal switching synthesis also guarantees the mean square stability for jump linear systems. The validations of the proposed methods are verified by examples.

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