Abstract:
We address the problem of enforcing the zero- divergence constraint in data assimilation for two-dimensional magnetohydrodynamic flow. Using a finite-volume computational...Show MoreMetadata
Abstract:
We address the problem of enforcing the zero- divergence constraint in data assimilation for two-dimensional magnetohydrodynamic flow. Using a finite-volume computational model, we compare the performance of the localized unscented Kalman filter with the localized equality-constrained unscented and projected localized unscented Kalman filters, which enforce the zero-divergence constraint.
Published in: 2008 American Control Conference
Date of Conference: 11-13 June 2008
Date Added to IEEE Xplore: 05 August 2008
ISBN Information: