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Adaptive Filter for High Dimensional Inverse Engineering Problems: From Theory to Practical Implementation

Author(s): Hong Son Hoang | Rémy Barailles

Journal: Engineering
ISSN 1947-3931

Volume: 05;
Issue: 05;
Start page: 70;
Date: 2013;
Original page

Keywords: Dynamical Systems | Adaptive Filtering | Stability | Real Schur Decomposition | Stochastic Approximation | Numerical Prediction | Data Assimilation

The inverse engineering problems approach is a discipline that is growing very rapidly. The inverse problems we consider here concern the way to determine the state and/or parameters of the physical system of interest using observed measurements. In this context the filtering algorithms constitute a key tool to offer improvements of our knowledge on the system state, its forecast… which are essential, in particular, for oceanographic and meteorologic operational systems. The objective of this paper is to give an overview on how one can design a simple, no time-consuming Reduced-Order Adaptive Filter (ROAF) to solve the inverse engineering problems with high forecasting performance in very high dimensional environment.
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