Title :
Estimating volterra kernels expanded on orthonormal bases
Author :
Hassouna, S. ; Ouvrard, R. ; Coirault, P. ; Bibes, G.
Author_Institution :
Lab. d´Autom. et d´Inf. Ind., ESIP, Poitiers, France
Abstract :
The aim of this paper is the identification of a continuous nonlinear system. The model is a finite Volterra series expansion. The Volterra kernels are expanded on generalized orthonormal function bases, and the expansion parameters are estimated by a modified least-squares algorithm.
Keywords :
Volterra equations; continuous time systems; least squares approximations; nonlinear control systems; parameter estimation; Volterra kernel estimation; continuous nonlinear system identification; expansion parameter estimation; finite Volterra series expansion; generalized orthonormal function bases; modified least-squares algorithm; orthonormal bases; Covariance matrices; Europe; Kernel; Mathematical model; Numerical models; Solid modeling; White noise; Identification methods; Identification of non-linear systems;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
