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Zonotopic state estimation and fault detection for systems with time-invariant uncertainties

Résumé : This paper proposes a robust guaranteed state estimation method with application to fault detection by combining H observer design with zonotopic analysis for discrete-time systems with both time-variant and time-invariant uncertainties. In order to improve the estimation accuracy, based on the H ? technique, the observer design is achieved by solving a linear matrix inequality. The main contribution of this method lies in that the time invariance of some uncertainties is considered to reduce the conservatism of interval estimation. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed method.
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https://hal.inria.fr/hal-01931311
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Submitted on : Thursday, November 22, 2018 - 4:27:15 PM
Last modification on : Friday, April 9, 2021 - 5:00:06 PM
Long-term archiving on: : Saturday, February 23, 2019 - 3:54:51 PM

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Zhenhua Wang, Wentao Tang, Qinghua Zhang, Vicenc Puig, Yi Shen. Zonotopic state estimation and fault detection for systems with time-invariant uncertainties. SAFEPROCESS 2018, 10th IFAC Symposium on Fault Detection, Diagnosis and Safety of Technical Processes, Aug 2018, Varsovie, Poland. pp.494-499, ⟨10.1016/j.ifacol.2018.09.622⟩. ⟨hal-01931311⟩

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