This paper concerns the identification problem of piece–wise linear models from noisy data. The piece–wise linear models are of interest because they can approximate with arbitrary degree of accuracy any non–linear model, holding mathematical tractability and generality. The identification procedure is formulated within the Frisch scheme, well established for linear systems, which has been modified and improved to be applied for piece–wise linear systems. Further, using reasonable hypothesis on the data noise, the identification procedure is enhanced with respect to the linear case.

Parameters identification for piecewise linear models with weakly varying noise / R., Rovatti; Fantuzzi, Cesare; S., Simani; S., Beghelli. - ELETTRONICO. - (1998), pp. 4488-4489. ((Intervento presentato al convegno N/A tenutosi a N/A nel N/A.

Parameters identification for piecewise linear models with weakly varying noise.

FANTUZZI, Cesare;
1998

Abstract

This paper concerns the identification problem of piece–wise linear models from noisy data. The piece–wise linear models are of interest because they can approximate with arbitrary degree of accuracy any non–linear model, holding mathematical tractability and generality. The identification procedure is formulated within the Frisch scheme, well established for linear systems, which has been modified and improved to be applied for piece–wise linear systems. Further, using reasonable hypothesis on the data noise, the identification procedure is enhanced with respect to the linear case.
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4488
4489
R., Rovatti; Fantuzzi, Cesare; S., Simani; S., Beghelli
Parameters identification for piecewise linear models with weakly varying noise / R., Rovatti; Fantuzzi, Cesare; S., Simani; S., Beghelli. - ELETTRONICO. - (1998), pp. 4488-4489. ((Intervento presentato al convegno N/A tenutosi a N/A nel N/A.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/464767
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