A New Identification Framework for Off-Line Computation of Moving-Horizon Observers
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Publication:5353287
DOI10.1109/TAC.2013.2256016zbMATH Open1369.93154arXiv1210.6488MaRDI QIDQ5353287
Publication date: 8 September 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
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.
Full work available at URL: https://arxiv.org/abs/1210.6488
Related Items (1)
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