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- W1974789391 abstract "This paper deals with modeling and parameter identification of multiple-input single-output Wiener nonlinear systems. The basic idea is to construct a multiple-input single-output Wiener nonlinear model and to derive the gradient-based iterative algorithm for the proposed model. The proposed method has been applied to identify the parameters of a glutamate fermentation process. The results of real data simulation show that this method is effective." @default.
- W1974789391 created "2016-06-24" @default.
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- W1974789391 date "2013-08-01" @default.
- W1974789391 modified "2023-09-29" @default.
- W1974789391 title "Gradient-based iterative identification for MISO Wiener nonlinear systems: Application to a glutamate fermentation process" @default.
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- W1974789391 doi "https://doi.org/10.1016/j.aml.2013.03.015" @default.
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