Continuous Limits for Constrained Ensemble Kalman Filter

12/18/2019
by   Michael Herty, et al.
0

The Ensemble Kalman Filter method can be used as an iterative particle numerical scheme for state dynamics estimation and control–to–observable identification problems. In applications it may be required to enforce the solution to satisfy equality constraints on the control space. In this work we deal with this problem from a constrained optimization point of view, deriving corresponding optimality conditions. Continuous limits, in time and in the number of particles, allows us to study properties of the method. We illustrate the performance of the method by using test inverse problems from the literature.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/27/2020

A Stabilization of a Continuous Limit of the Ensemble Kalman Filter

The ensemble Kalman filter belongs to the class of iterative particle fi...
research
04/05/2022

Recent Trends on Nonlinear Filtering for Inverse Problems

Among the class of nonlinear particle filtering methods, the Ensemble Ka...
research
12/15/2018

Adding Constraints to Bayesian Inverse Problems

Using observation data to estimate unknown parameters in computational m...
research
06/08/2017

The Generalized Cross Validation Filter

Generalized cross validation (GCV) is one of the most important approach...
research
02/13/2013

Inference Using Message Propagation and Topology Transformation in Vector Gaussian Continuous Networks

We extend Gaussian networks - directed acyclic graphs that encode probab...
research
11/21/2017

Data Assimilation for a Geological Process Model Using the Ensemble Kalman Filter

We consider the problem of conditioning a geological process-based compu...
research
10/05/2019

An Optimal Transport Formulation of the Ensemble Kalman Filter

Controlled interacting particle systems such as the ensemble Kalman filt...

Please sign up or login with your details

Forgot password? Click here to reset