Abstract
In this paper, we focus on the nonlinear modelling of Wiener-Hammerstein structures. The most difficult step in the identification process of such block-oriented models is to generate good initial values for the linear dynamic blocks. Here, good initial estimates are obtained by using the Best Linear Approximation of the system under test, which can easily be extracted from the data. The idea is to write the linear dynamic blocks as a linear combination of basis functions containing the poles and the zeros of the Best Linear Approximation. Next, these initial values are further tuned via a nonlinear optimization procedure. The proposed identification method is applied to real measurement data.
| Original language | English |
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| Title of host publication | 15th IFAC Symposium on System Identification (SYSID 2009), July 6-8, 2009, St. Malo, France |
| Pages | 1098-1103 |
| Number of pages | 6 |
| Publication status | Published - 6 Jul 2009 |
| Event | Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden Duration: 21 Sept 2009 → 25 Sept 2009 |
Conference
| Conference | Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet |
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| Country/Territory | Sweden |
| City | Stockholm |
| Period | 21/09/09 → 25/09/09 |
Keywords
- Wiener-Hammerstein systems
- nonlinear modelling
- best linear approximation