Title :
Linear in parameters identifiability of extended bilinear systems
Author :
Schrempf, A. ; del Re, L.
Author_Institution :
Dept. for Design & Control of Mechatron. Syst., Johannes Kepler Univ., Linz, Austria
Abstract :
A new model class is proposed to use for identification purposes, which is able to approximate many nonlinear systems quite accurately. Conditions are given for the system to be representable by a linear-in-parameters equation, which allows to use effective linear methods to solve the identification problem. Finally an example is provided to illustrate the use of the proposed model class for identification purposes.
Keywords :
bilinear systems; identification; extended bilinear systems; identification problem; linear-in-parameters equation; model class; nonlinear systems; parameters identifiability; Approximation methods; Equations; Mathematical model; Noise measurement; Nonlinear systems; Vectors; System Identification; nonlinear discrete-time systems; subspace methods;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
