On the uncertainty identification for linear dynamic systems using stochastic embedding approach with gaussian mixture models

In control and monitoring of manufacturing processes, it is key to understand model uncertainty in order to achieve the required levels of consistency, quality, and economy, among others. In aerospace applications, models need to be very precise and able