Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
699547 | Control Engineering Practice | 2012 | 7 Pages |
Abstract
In this work a new initialization scheme for nonlinear state-space models is applied to the problem of identifying a Wiener–Hammerstein system on the basis of a set of real data. The proposed approach combines ideas from the statistical learning community with classic system identification methods. The results on the benchmark data are discussed and compared to the ones obtained by other related methods.
Related Topics
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Authors
Anna Marconato, Jonas Sjöberg, Johan Schoukens,