%0 Journal Article
%T A New Identification Framework For Off-Line Computation of Moving-Horizon Observers
%A Mazen Alamir
%J Computer Science
%D 2012
%I arXiv
%X In this paper, a new nonlinear identification framework is proposed to address the issue of off-line computation of moving-horizon observer estimate. The proposed structure merges the advantages of nonlinear approximators with the efficient computation of constrained quadratic programming problems. A bound on the estimation error is proposed and the efficiency of the resulting scheme is illustrated using two state estimation examples.
%U http://arxiv.org/abs/1210.6488v1