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• W2889376795 startingPage "1473" @default.
• W2889376795 abstract "Summary This paper presents a low‐complexity input‐to‐state stable ellipsoidal outer‐bounding state estimation approach with unknown but bounded disturbances. The bounds on the noise are specified by ellipsoids. The feasible set is updated through computing the Minkowski sum and intersection of two ellipsoids. At the observation stage, the observation noise bounding ellipsoid is replaced by a parallelotope containing it. Then, each observation update is transformed into multiple consecutive iterations to intersect ellipsoid with strips, which significantly reduces its per‐update computational complexity. Furthermore, an adaptive selection scheme of the parameters is derived to ensure the stability of the estimation error. As a result, the proposed approach entails stability and delivers a trade‐off between performance and complexity." @default.
• W2889376795 created "2018-09-07" @default.
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• W2889376795 date "2018-08-29" @default.
• W2889376795 modified "2023-10-16" @default.
• W2889376795 title "Low-complexity ISS state estimation approach with bounded disturbances" @default.
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• W2889376795 doi "https://doi.org/10.1002/acs.2924" @default.
• W2889376795 hasPublicationYear "2018" @default.
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