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Continuous nonlinear system identification using Volterra series expansion

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3 Author(s)
Hassouna, S. ; Lab. d''Automatique et d''Informatique Industrielle, Poitiers Univ., France ; Coirault, P. ; Ouvrard, R.

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

Published in:

American Control Conference, 2001. Proceedings of the 2001  (Volume:6 )

Date of Conference:

2001