| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 710787 | IFAC-PapersOnLine | 2016 | 6 Pages |
Abstract
In this paper we present some results on partial differential equations (PDEs) parametric identification. We follow a deterministic approach and formulate the identification problem as an optimization with respect to unknown parameters of the PDE. We use proper orthogonal decomposition (POD) model reduction theory together with a model free multi-parametric extremum seeking (MES) approach, to solve the identification problem. Finally, the well known Burgers’ equation test-bed is used to validate our approach.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
M. Benosman,