A New Identification Framework For Off-Line Computation of Moving-Horizon Observers

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.

DOI: 10.1109/TAC.2013.2256016

Extracted Key Phrases

3 Figures and Tables

Cite this paper

@article{Alamir2013ANI, title={A New Identification Framework For Off-Line Computation of Moving-Horizon Observers}, author={Mazen Alamir}, journal={IEEE Trans. Automat. Contr.}, year={2013}, volume={58}, pages={1877-1882} }