Sensorless PMSM control: Hybrid rotor position estimator using maximum likelihood model selection.

David Vosmik Václav Smídl Zdenek Peroutka

Published in: ISIE (2013)

Keyphrases

model selection
maximum likelihood
hyperparameters
parameter estimation
likelihood function
cross validation
error estimation
mixture model
em algorithm
selection criterion
induction motor

sample size
maximum a posteriori
statistical learning
statistical inference
regression model
control system
feature selection
bayesian learning
machine learning
control strategy
gaussian mixture model

variable selection
expectation maximization
marginal likelihood
leave one out cross validation
control algorithm
bayesian methods
gaussian process
posterior distribution
generalization error
data mining

information criterion
model selection criteria
automatic model selection
gaussian distribution
mathematical model
support vector
bayesian information criterion
bayesian networks
decision trees
maximum likelihood estimator