A method for piecewise linear model identification from noisy data is presented. The method is based on Frisch scheme extended to piecewise linear models. The existence and uniqueness of identification solutions depends on the statistical characteristics of the noise affecting the data. The identification procedure has been applied to 1D case.
Parameter Identification for Piecewise Linear Model with Weakly Varying Noise
ROVATTI, Riccardo;FANTUZZI, Cesare;SIMANI, Silvio;BEGHELLI, Sergio
1998
Abstract
A method for piecewise linear model identification from noisy data is presented. The method is based on Frisch scheme extended to piecewise linear models. The existence and uniqueness of identification solutions depends on the statistical characteristics of the noise affecting the data. The identification procedure has been applied to 1D case.File in questo prodotto:
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