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Fast interval estimation for discrete-time systems based on fixed-time convergence

Abstract : This paper studies interval estimation for discrete-time linear systems with unknown but bounded disturbance and measurement noise. Inspired by the well-known parity space approach in the field of fault diagnosis, we propose a fast interval estimation method with fixed-time convergence property. A singular value decomposition-based parameter optimization algorithm is used to attenuate the effect of uncertainties on the estimation error. Comparison study illustrates the superiority of the proposed method over existing technique.
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https://hal-cnam.archives-ouvertes.fr/hal-02516142
Contributor : Thach Ngoc Dinh <>
Submitted on : Monday, March 23, 2020 - 6:08:45 PM
Last modification on : Saturday, March 28, 2020 - 1:30:34 AM

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Zhenhua Wang, Thach Ngoc Dinh, Qinghua Zhang, Tarek Raissi, Yi Shen. Fast interval estimation for discrete-time systems based on fixed-time convergence. 21st IFAC World Congress, Jul 2020, Berlin, Germany. ⟨hal-02516142⟩

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