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• W1973403504 abstract "An automatic computational algorithm for parameter identification is presented. The algorithm has been implemented on a digital computer and identification is made in terms of a nonlinear discrete model which is referred to as the General model. The model is deterministic, time invariant and is constructed by cascading a discrete linear system with memory and two zero-memory nonlinear gain functions. This model is an extension of a discrete form of the Hammerstein model first formulated and applied to the identification problem by Narendra and Gallman. The model parameters are determined (identified) by minimizing the mean square error between the model and plant output by a conjugate gradient search. The algorithm has been extended to include parameter identification of feedback systems." @default.
• W1973403504 created "2016-06-24" @default.
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• W1973403504 date "1971-06-01" @default.
• W1973403504 modified "2023-09-30" @default.
• W1973403504 title "A computational algorithm for the identification of nonlinear systems" @default.
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• W1973403504 doi "https://doi.org/10.1016/0016-0032(71)90002-0" @default.
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