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- W2171210002 abstract "This paper deals with continuous-time system identification using fractional models in a noisy input/output context. The third-order cumulants based least squares method (tocls) is extended here to fractional models. The derivatives of the third-order cumulants are computed using a new fractional state variable filter. A numerical example is used to demonstrate the performance of the proposed method called ftocls (fractional third-order cumulants based least squares). The effect of the signal-to-noise ratio and the hyperparameter is studied." @default.
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- W2171210002 date "2011-03-01" @default.
- W2171210002 modified "2023-09-25" @default.
- W2171210002 title "Third-order cumulants based method for continuous-time Errors-In-Variables system identification by fractional models" @default.
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- W2171210002 doi "https://doi.org/10.1109/ssd.2011.5767441" @default.
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