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• W2024892882 abstract "This paper considers the parameter identification of nonlinear systems using Hammerstein model and in the presence of correlated output noise. Existing identification methods are all iterative. The proposed method, called MSLS, is a noniterative four-stage least square solution procedure. Therefore, it is computationally simpler. The estimates so obtained are statistically consistent. Two examples are included to demonstrate the utility of this method." @default.
• W2024892882 created "2016-06-24" @default.
• W2024892882 creator A5058369418 @default.
• W2024892882 date "1976-12-01" @default.
• W2024892882 modified "2023-09-26" @default.
• W2024892882 title "A multi-stage least squares method for identifying Hammerstein model nonlinear systems" @default.
• W2024892882 cites W2130206201 @default.
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• W2024892882 doi "https://doi.org/10.1109/cdc.1976.267860" @default.
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