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Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering.
- Source :
-
Journal of the Franklin Institute . Apr2015, Vol. 352 Issue 4, p1440-1454. 15p. - Publication Year :
- 2015
-
Abstract
- This paper presents a data filtering based stochastic gradient algorithm for estimating the parameters of multivariable Hammerstein FIR-MA-like systems. By filtering the input and output data, the FIR-MA-like model is transformed into a controlled autoregressive model. The examples confirm that the proposed algorithm is more accurate and has a better performance than the stochastic gradient algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00160032
- Volume :
- 352
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Journal of the Franklin Institute
- Publication Type :
- Periodical
- Accession number :
- 101930066
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2015.01.015