Title :
Continuous nonlinear system identification using Volterra series expansion
Author :
Hassouna, S. ; Coirault, P. ; Ouvrard, R.
Author_Institution :
Lab. d´´Automatique et d´´Informatique Industrielle, Poitiers Univ., France
Abstract :
This paper presents an identification method for continuous nonlinear systems whose input-output functional is regular and homogeneous. The model is a Volterra series truncated in its first terms. The Volterra kernels are expanded on multidimensional generalized orthonormal bases. A subset model selection is applied on the estimated model to provide a more parsimonious model
Keywords :
Volterra series; continuous time systems; nonlinear systems; parameter estimation; Volterra kernels expansion; Volterra. 0 0 series expansion; continuous nonlinear system identification; homogeneous input-output functional; identification method; multidimensional generalized orthonormal bases; regular input-output functional; subset model selection; Circuits; Convolution; Electrostatic precipitators; Kernel; Least squares methods; Multidimensional systems; Nonlinear systems; Parameter estimation; Protocols; Transient response;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945755
