On the role of prefiltering in nonlinear system identification
| Autor: | Luigi Piroddi, Marco Lovera, W. Spinelli |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Nonlinear system identification
Frequency band System identification Volterra series Nonlinear control Computer Science Applications Parameter identification problem Nonlinear system AUT Control and Systems Engineering Control theory Frequency domain Electrical and Electronic Engineering Mathematics |
| Zdroj: | IEEE Transactions on Automatic Control. 50:1597-1602 |
| ISSN: | 0018-9286 |
| DOI: | 10.1109/tac.2005.856655 |
| Popis: | Data prefiltering is often used in linear system identification to increase model accuracy in a specified frequency band, as prefiltering is equivalent to a frequency weighting on the prediction error function. However, this interpretation applies only to a strictly linear setting of the identification problem. In this note, the role of data and error prefiltering in nonlinear system identification is analyzed and a frequency domain interpretation is provided, based on the Volterra series representation of nonlinear systems. Simulation results illustrate the conclusions of the analysis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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