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• W2621228497 abstract "ABSTRACTTo overcome the influence from deterministic type load disturbance with unknown dynamics, a bias-eliminated subspace identification method is proposed for consistent estimation. By decomposing the output response into three parts, deterministic, disturbed and stochastic components, in terms of the linear superposition principle, an LQ decomposition approach is developed to eliminate the disturbance and noise effect for unbiased estimation of the deterministic system state. Subsequently, a shift-invariant approach is given to retrieve the state matrices. Consistent estimation on the state matrices is analyzed with a proof. Illustrative example of open-loop system identification is shown to demonstrate the effectiveness and merit of the proposed method." @default.
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• W2621228497 date "2017-01-01" @default.
• W2621228497 modified "2023-10-15" @default.
• W2621228497 title "LQ decomposition based subspace identification under deterministic type disturbance" @default.
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• W2621228497 doi "https://doi.org/10.1080/21642583.2017.1333927" @default.
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