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• W1858705524 abstract "In this paper a new type of bias-eliminated least-squares (BELS) based algorithm is proposed for consistent identification of linear systems with noisy input and output measurements. It is shown that estimation of the noise variances can be implemented when the degree of the denominator polynomial of the system transfer function is increased by one. The modified BELS algorithm is attractive and meaningful in that noisy data are used in identification with no prefiltering and a direct estimate of system parameters is given without any parameter transformation." @default.
• W1858705524 created "2016-06-24" @default.
• W1858705524 creator A5006014871 @default.
• W1858705524 date "2002-12-24" @default.
• W1858705524 modified "2023-09-25" @default.
• W1858705524 title "Modified least-squares identification of linear systems with noisy input and output observations" @default.
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• W1858705524 doi "https://doi.org/10.1109/cdc.1996.574640" @default.
• W1858705524 hasPublicationYear "2002" @default.
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