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A New Identification Framework For Off-Line Computation of Moving-Horizon Observers (1210.6488v1)
Published 24 Oct 2012 in cs.SY
Abstract: 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.
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