TY - JOUR
T1 - Statistical Model Checking for Finite-Set Model Predictive Control Converters
T2 - A Tutorial on Modeling and Performance Verification
AU - Novak, Mateja
AU - Nyman, Ulrik
AU - Dragicevic, Tomislav
AU - Blaabjerg, Frede
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
KW - Statistical model checking
KW - Finite control set model predictive control (FCS-MPC)
KW - Modelling and Simulation
KW - Uppaal SMC
KW - Controller performance
UR - http://www.scopus.com/inward/record.url?scp=85072614866&partnerID=8YFLogxK
U2 - 10.1109/MIE.2019.2916232
DO - 10.1109/MIE.2019.2916232
M3 - Journal article
SN - 1932-4529
VL - 13
SP - 6
EP - 15
JO - I E E E Industrial Electronics Magazine
JF - I E E E Industrial Electronics Magazine
IS - 3
M1 - 8845791
ER -