二维磁流体动力学方程的速度和磁场单分量连续同化

Asymptot. Anal. Pub Date : 2017-04-07 DOI:10.3233/ASY-171454
A. Biswas, Joshua Hudson, Adam Larios, Yuan Pei
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引用次数: 23

摘要

针对二维磁流体动力学方程,提出了几种基于反馈控制的连续数据同化(降尺度)算法。我们证明,对于足够大的控制参数和分辨率的选择,并假设观测数据是无误差的,被控系统的解(在$L^2$和$H^1$范数中)指数收敛到参考解,与被控系统选择的初始数据无关。此外,我们表明,在控制参数和分辨率更严格的条件下,当控件仅放置在水平(或垂直)变量上或单个Els\ asser变量上时,也会出现类似的结果。最后,利用数据同化系统证明了简化的确定模态、节点和体元的存在性。
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Continuous data assimilation for the 2D magnetohydrodynamic equations using one component of the velocity and magnetic fields
We propose several continuous data assimilation (downscaling) algorithms based on feedback control for the 2D magnetohydrodynamic (MHD) equations. We show that for sufficiently large choices of the control parameter and resolution and assuming that the observed data is error-free, the solution of the controlled system converges exponentially (in $L^2$ and $H^1$ norms) to the reference solution independently of the initial data chosen for the controlled system. Furthermore, we show that a similar result holds when controls are placed only on the horizontal (or vertical) variables, or on a single Els\"asser variable, under more restrictive conditions on the control parameter and resolution. Finally, using the data assimilation system, we show the existence of abridged determining modes, nodes and volume elements.
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