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- W2357512060 abstract "In order to improve performance criteria of controlling system,and realize adaptive control,this article proposes a model parameter identification method on the basis of neural networks.Firstly,controller is designed based on DSP for an unknown parameters machine.Secondly,a great number of practical observation data are obtained though the high-speed DAS card.Then the data is preprocessed,and the model identification of the preprocessed data is carried out according to the theory of neural network identification.In order to test the effectiveness of the method introduced in this article,real system step response and model step response of some system are compared.Besides,PI controllers are designed for the system.The actual result indicates that the method is accurate and applicable." @default.
- W2357512060 created "2016-06-24" @default.
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- W2357512060 date "2009-01-01" @default.
- W2357512060 modified "2023-09-28" @default.
- W2357512060 title "Model Identification and Application of DC Machine Based on Neural Network" @default.
- W2357512060 hasPublicationYear "2009" @default.
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