Postdoc Colloquium Series

Date: November 8, 2017

Time: 4:00PM - 5:00PM

Location: Bloc 220

Speaker: Cecilia Mondaini, TAMU

Title: Analysis of a feedback-control based data assimilation algorithm

Abstract: Forecasts of the future state of a complex physical system (e.g., the atmosphere) that are purely generated from a theoretical model are commonly affected by the limitations of the model inadequately representing reality. Data assimilation is the technique that combines the theoretical model with information from physical observations in order to obtain a better prediction of the future state of the system. In this talk, I will show some analytical results concerning a certain data assimilation algorithm based on feedback control. This is based on joint works with A. Biswas, C. Foias and E. S. Titi.