Identification of Wiener systems with known noninvertible nonlinearities
- 1 January 2001
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 6 (07431619), 4890-4895 vol.6
- https://doi.org/10.1109/acc.2001.945759
Abstract
In this paper we develop a method for identifying Wiener-type nonlinear systems, that is, systems consisting of a linear dynamic system followed by a static nonlinearity. Unlike previous techniques developed for Wiener system identification, our approach allows the identification of systems with noninvertible, but known, nonlinearities.Keywords
This publication has 20 references indexed in Scilit:
- Recursive subspace identification of linear and non-linear Wiener state-space modelsAutomatica, 2000
- Nonparametric approach to Wiener system identificationIEEE Transactions on Circuits and Systems I: Regular Papers, 1997
- Nonlinear black-box models in system identification: Mathematical foundationsAutomatica, 1995
- On identification of parallel block-cascade nonlinear modelsInternational Journal of Systems Science, 1995
- Nonparametric identification of Wiener systems by orthogonal seriesIEEE Transactions on Automatic Control, 1994
- Convergence analysis of recursive identification algorithms based on the nonlinear Wiener modelIEEE Transactions on Automatic Control, 1994
- Nonparametric identification of Wiener systemsIEEE Transactions on Information Theory, 1992
- Identification and control of dynamical systems using neural networksIEEE Transactions on Neural Networks, 1990
- Identification of a linear system observed through zero-memory non-linearityInternational Journal of Systems Science, 1987
- The identification of polynomial systems by means of higher order spectraJournal of Sound and Vibration, 1970