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Least-squares-based iterative identification algorithm for Hammerstein nonlinear systems with non-uniform sampling.
- Source :
- International Journal of Computer Mathematics; Jul2013, Vol. 90 Issue 7, p1524-1534, 11p, 2 Diagrams, 3 Charts, 1 Graph
- Publication Year :
- 2013
-
Abstract
- This paper focuses on identification problems for Hammerstein systems with non-uniform sampling. By using the over-parameterization technique, we derive a linear regressive identification model with different input updating rates. To solve the identification problem of Hammerstein output error systems with the unmeasurable variables in the information vector, the least-squares-based iterative algorithm is presented by replacing the unmeasurable variables with their corresponding iterative estimates. The performances of the proposed algorithm are analysed and compared by using a numerical example. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 00207160
- Volume :
- 90
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- International Journal of Computer Mathematics
- Publication Type :
- Academic Journal
- Accession number :
- 89240018
- Full Text :
- https://doi.org/10.1080/00207160.2012.758364