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Exponential excitations for effective identification of Wiener system.
- Source :
- International Journal of Control; Sep2024, Vol. 97 Issue 9, p1956-1966, 11p
- Publication Year :
- 2024
-
Abstract
- The paper considers the problem of nonparametric estimation of nonlinear characteristic in the FIR Wiener system. Methods proposed so far have suffered from the so-called 'curse of dimensionality' and their practical applications have been limited to the very short impulse responses of the linear component. In the proposed approach, the class of (stochastically initialised) repeated exponential input excitations is introduced, and a modified kernel-based estimator is presented. It is shown that the rate of convergence to the genuine system characteristic is significantly improved and does not depend on the length of the impulse response of the linear dynamic block. [ABSTRACT FROM AUTHOR]
- Subjects :
- NONLINEAR estimation
IMPULSE response
NONLINEAR regression
SYSTEM identification
FIR
Subjects
Details
- Language :
- English
- ISSN :
- 00207179
- Volume :
- 97
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- International Journal of Control
- Publication Type :
- Academic Journal
- Accession number :
- 179297251
- Full Text :
- https://doi.org/10.1080/00207179.2023.2246070