An ensemble Kalman-Bucy filter for continuous data assimilation
An ensemble Kalman-Bucy filter for continuous data assimilation
Blog Article
The ensemble Kalman filter has emerged as a promising filter algorithm for nonlinear differential equations subject to intermittent observations.In this paper, we extend the well-known Kalman-Bucy filter for linear apac1/60/1/cw differential equations subject to continous observations to the ensemble setting and nonlinear differential equations.The proposed filter is turbosound ts-18sw700/8a called the ensemble Kalman-Bucy filter and its performance is demonstrated for a simple mechanical model (Langevin dynamics) subject to incremental observations of its velocity.
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