A review of uncertainty propagation methods within continuity equation and Gaussian mixture model frameworks
Abstract
This paper reviews the research progress for uncertainty propagation within continuity equation and Gaussian mixture model frameworks. First, a state-of-the-art study on the uncertainty propagation methods within the continuity equation framework is given in terms of the continuity equation, interpolation method and the binning method. Second, a review of development of the uncertainty propagation methods within the Gaussian mixture model framework is given in terms of the Gaussian mixture model, and the hybrid methods within the Gaussian mixture model framework. Third, a comparison is given for the mathematical nature, accuracy and efficiency between the two method frameworks. Finally, the main features and advantages are concluded for the two method frameworks for uncertainty propagation, and the future research work is envisaged.
