Title :
Identification of a class of linear models with nonlinearly varying parameters
Author :
Previdi, Fabio ; Lovera, Marco
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
A novel class of hybrid linear/nonlinear models is proposed for nonlinear identification purposes and a specific parameter tuning algorithm is presented. The connections between this model class and the Local Model Network family are outlined. Finally, the capabilities of this model in identification problems is outlined by means of simulations.
Keywords :
continuous systems; control nonlinearities; discrete systems; identification; linear systems; nonlinear control systems; class identification; hybrid linear-nonlinear models; local model network family; nonlinear identification; nonlinearly varying parameters; parameter tuning algorithm; Data models; Estimation; Neural networks; Noise; Parameter estimation; Performance analysis; Solid modeling;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
