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- W2365415046 abstract "Fractional-order controller is more flexible and gives an opportunity to better adjust the dynamical properties of a fractional-order control system than the traditional PIDcontroller.However,the selection of controller parameters is more difficult for afractional-order PIα Dβ controller which introduces additional two parameters α and β.For better adaptive capacity of system uncertainty without generality loss,a fractional-order PIα controller with self-tuning parameters is presented based on neural network.The discretization method used and the material design method of fractional-order PIα controller are described,and the architecture of back-propagation neural networks and parameters self-tuning algorithm of the controller are discussed in detail.The experiment results show that the controller presented can maintain the performance of the normal fractional-order PIα controller,while possesses better flexibility and parameters self-tuning ability." @default.
- W2365415046 created "2016-06-24" @default.
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- W2365415046 date "2008-01-01" @default.
- W2365415046 modified "2023-09-23" @default.
- W2365415046 title "Design and Implement of Neural Network Based Fractional-Order Controller" @default.
- W2365415046 hasPublicationYear "2008" @default.
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