Model order reduction for real-time data assimilation through Extended Kalman Filters

To achieve real-time feedback rates, the model (also known as physical prior) and its solution play a fundamental role. Given the inherent non-linear character of the problems here considered, we employ reduced order techniques in order to obtain such stringent feedback rates. Examples are provided on realistic models that show the performance of the proposed technique.