Uncertainty quantification of complex technical systems is often based on a computer model of the system. As all models such a computer model is always wrong in the sense that it does not describe the reality perfectly. The purpose of this article is to give a review of techniques which use observed values of the technical systems in order to take into account the inadequacy of a computer model in uncertainty quantification. The techniques reviewed in this article are illustrated and compared by applying them to applications in mechanical engineering.
@article{arxiv.2012.09449,
title = {Uncertainty Quantification in Case of Imperfect Models: A Review},
author = {Sebastian Kersting and Michael Kohler},
journal= {arXiv preprint arXiv:2012.09449},
year = {2020}
}