Regularized Nonlinear Moving-Horizon Observer With Robustness to Delayed and Lost Data

Abstract

Moving-horizon estimation provides a general method for state estimation with strong theoretical convergence properties under the critical assumption that global solutions are found to the associated nonlinear programming problem at each sampling instant. A particular benefit of the approach is the use of a moving window of data that is used to update the… (More)
DOI: 10.1109/TCST.2012.2228652

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Cite this paper

@article{Johansen2013RegularizedNM, title={Regularized Nonlinear Moving-Horizon Observer With Robustness to Delayed and Lost Data}, author={Tor Arne Johansen and Dan Sui and Roar Nyb\o}, journal={IEEE Transactions on Control Systems Technology}, year={2013}, volume={21}, pages={2114-2128} }