Statistical Model Checking for Finite-Set Model Predictive Control Converters: A Tutorial on Modeling and Performance Verification

Mateja Novak; Ulrik Nyman; Tomislav Dragicevic; Frede Blaabjerg

doi:10.1109/MIE.2019.2916232

Statistical Model Checking for Finite-Set Model Predictive Control Converters: A Tutorial on Modeling and Performance Verification

Mateja Novak, Ulrik Nyman, Tomislav Dragicevic, Frede Blaabjerg

Research output: Contribution to journal › Journal article › Research › peer-review

10 Citations (Scopus)

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Abstract

Statistical model checking (SMC) is used as a method for examining system behavior in all possible scenarios, and it has been successfully implemented in embedded automotive systems, sensor networks, and aeronautics and communication systems for solving problems that were beyond the abilities of traditional formal techniques. Using this approach, the system is simulated for a finite number of times, and, afterward, the samples are used for hypothesis testing. We will demonstrate how the area of application can also be extended to power electronics systems—in particular, how this method can be used to check the performance of finite-set controlled power electronic converters.

Original language	English
Article number	8845791
Journal	I E E E Industrial Electronics Magazine
Volume	13
Issue number	3
Pages (from-to)	6-15
Number of pages	10
ISSN	1932-4529
DOIs	https://doi.org/10.1109/MIE.2019.2916232
Publication status	Published - Sept 2019

Keywords

Statistical model checking
Finite control set model predictive control (FCS-MPC)
Modelling and Simulation
Uppaal SMC
Controller performance

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Statistical Model Checking for Finite-Set Model Predictive Control Converters: A Tutorial on Modeling and Performance Verification

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