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• W2086646907 abstract "A novel algorithm is developed based on fractional signal processing approach for parameter estimation of input nonlinear control autoregressive (INCAR) models. The design scheme consists of parameterization of INCAR systems to obtain linear-in-parameter models and to use fractional least mean square algorithm (FLMS) for adaptation of unknown parameter vectors. The performance analyses of the proposed scheme are carried out with third-order Volterra least mean square (VLMS) and kernel least mean square (KLMS) algorithms based on convergence to the true values of INCAR systems. It is found that the proposed FLMS algorithm provides most accurate and convergent results than those of VLMS and KLMS under different scenarios and by taking the low-to-high signal-to-noise ratio." @default.
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• W2086646907 date "2013-01-01" @default.
• W2086646907 modified "2023-10-14" @default.
• W2086646907 title "Identification of Input Nonlinear Control Autoregressive Systems Using Fractional Signal Processing Approach" @default.
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• W2086646907 doi "https://doi.org/10.1155/2013/467276" @default.
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