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• W4313655997 abstract "In this paper, the identification of a time delay Hammerstein system is considered. Based on a normalized Gaussian white input, a cross-correlation function increment method is investigated to estimate the time delay without the parameter estimates. The integer delay is obtained directly, not by rounding a decimal delay estimate. To identify the parameters, a novel multi-error information gradient algorithm with variable stacking length is proposed. In the parameter identification algorithm, the slow stochastic information gradient algorithm is accelerated by a stacked error named multi-error and the variable stacking length is determined by a loss function descent criterion. Several simulation experiments validate the proposed algorithm." @default.
• W4313655997 created "2023-01-07" @default.
• W4313655997 creator A5062594568 @default.
• W4313655997 date "2023-05-01" @default.
• W4313655997 modified "2023-10-17" @default.
• W4313655997 title "Time-delay Hammerstein system identification using modified cross-correlation method and variable stacking length multi-error algorithm" @default.
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• W4313655997 doi "https://doi.org/10.1016/j.matcom.2022.12.031" @default.
• W4313655997 hasPublicationYear "2023" @default.
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