Underdetermined Magnetostatic Inverse Problem : Bayes Theorem application
Résumé
This paper deals with the use of the Bayesian approach to inverse an underdetermined problem. The modeled a priori information is statistically studied using either Unscented Transform (UT) method or Monte Carlo (MC) method to estimate the mean value and standard deviation. The whole approach is applied to an experimental setup illustrating an electric vehicle power circuitry. This demonstrates the strength of coupling modeling and measurements for complex systems identification. Keywords: Bayes theorem, Inverse problem, Magnetostatic, Monte Carlo, Unscented Transform