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Data assimilation algorithm for stochastic evolution equations based on discrete-time observation
DOI:10.1016/j.camwa.2026.05.015.png)
Abstract
En 中文
This paper is concerned with the data assimilation of stochastic evolution equations based on discrete-time observation. For stochastic ordinary differential equations, a new data assimilation algorithm is introduced. Our main results show that the approximating solution, obtained by our algorithm, converges to the unknown reference solution over time almost surely. For stochastic Chafee-Infante reaction-diffusion equations, a continuous data assimilation algorithm is given based on ideas that have been developed for designing finite dimensional feedback controls. Some numerical examples are given to verify our results.
Keywords:
data assimilation
stochastic evolution equations
discrete-time observation
stochastic ordinary differential equations
stochastic Chafee-Infante reaction-diffusion equations
Journal
C
IF:
2.5
Papers:
289
Citations:
0
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