498 RWTH Publication No: 795642        2019        IGPM498.pdf
TITLE Continuous Limits for Constrained Ensemble Kalman Filter
AUTHORS Michael Herty, Giuseppe Visconti
ABSTRACT The Ensemble Kalman Filter method can be used as an iterative particle numerical scheme for state dynamics estimation and control{to{observable identication 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.
KEYWORDS inverse problems, constrained optimization, nonlinear ltering methods, DAE systems, mean-field limit
DOI 10.1088/1361-6420/ab8bc5
PUBLICATION Inverse Problems, Volume 36, Number 7, 2020