Modeling of the Power Losses due to Coss in SJ MOSFETs Submitted to ZVS: Identification of the Passive Parameters by a Genetic Algorithm.
Angelo RacitiSanti Agatino RizzoNunzio SalernoGiovanni SusinniRosario ScolloAlfio ScutoSalvatore MusumeciEric ArmandoPublished in: IECON (2018)
Keyphrases
- genetic algorithm
- parameter identification
- fitness function
- power losses
- parameter optimization
- neural network
- parameter values
- multi objective optimization
- real time
- optimal parameters
- simulated annealing
- maximum likelihood
- differential evolution
- multi objective
- parameter selection
- mutation rate
- power consumption
- optimization method
- sensitivity analysis
- hidden markov models
- modeling language
- maximum likelihood estimation
- modeling method
- parameter estimation
- artificial neural networks
- case study