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Stability of a Nonlinear Moving Horizon Estimator with Pre-Estimation

Abstract : In this paper, a Moving Horizon Estimator with pre-estimation (MHE-PE) is proposed for discrete-time nonlinear systems under bounded noise. While the classical Moving Horizon Estimator (MHE) compensates for model errors by estimating the process noise sequence over the horizon via optimization, the MHE-PE does it using an auxiliary estimator. The MHE-PE is shown to require significantly less computation time compared to the MHE, while providing the same order of magnitude of estimation errors. The stability of the estimation errors of the MHE-PE is also proven and an upper bound on its estimation errors is derived. Performances of the MHE-PE is illustrated via a simulation example of pressure estimation in a gas-phase reversible reaction.
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Submitted on : Wednesday, March 19, 2014 - 7:29:35 PM
Last modification on : Thursday, September 30, 2021 - 12:38:03 PM
Long-term archiving on: : Thursday, June 19, 2014 - 1:15:56 PM


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Rata Suwantong, Sylvain Bertrand, Didier Dumur, Dominique Beauvois. Stability of a Nonlinear Moving Horizon Estimator with Pre-Estimation. 2014 American Control Conference, Jun 2014, Portland, Oregon, United States. ⟨10.1109/ACC.2014.6859072⟩. ⟨hal-00961333⟩



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