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Robust Estimation for Nonlinear Continuous-Discrete Systems With Missing Outputs: Application to Automatic Train Control

Abstract : This brief is about robust estimation for a sampled output system with continuous dynamics using unknown input observers (UIOs). A novel worst case estimation error bound is developed using a particular form of Gronwall inequality. The motivation is to assess the accuracy of the estimator in real-world conditions, considering slow sensor sampling times and possible corruption of the measurements due to faults. The theoretical results are applied for robust velocity estimation of a braking train when wheel jamming faults affect odometric sensors. Simulations and experimental data analysis are used to evaluate the proposed approach.
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https://hal-uphf.archives-ouvertes.fr/hal-03426303
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Submitted on : Friday, November 12, 2021 - 10:40:20 AM
Last modification on : Saturday, November 13, 2021 - 3:53:34 AM

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Thierry-Marie Guerra, Braulio Norberto Aguiar Cota, Denis Berdjag, Bernard Demaya. Robust Estimation for Nonlinear Continuous-Discrete Systems With Missing Outputs: Application to Automatic Train Control. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2021, pp.1-7. ⟨10.1109/TCST.2021.3101737⟩. ⟨hal-03426303⟩

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