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Conference papers
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.
Cited literature [20 references]
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
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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IFAC20_0912_MS.pdf
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