Abstract
In this work, an attempt is made to show that pre-filtering can be used together with the correlation approach to identify nonlinear Wiener models provided that the input is Gaussian distributed. An application of this result is to identify Wiener models whose outputs are corrupted by integrated white noise by using high-pass filters as prefilters.
Original language | English |
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Title of host publication | Proceedings of the 38th IEEE Conference on Decision and Control (CDC 1999) |
Place of Publication | Los Alamitos, CA |
Publisher | IEEE |
Pages | 604-605 |
Number of pages | 2 |
Volume | 1 |
ISBN (Print) | 0-7803-5250-5 |
DOIs | |
Publication status | Published - 1999 |
Event | 38th IEEE Conference on Decision and Control, CDC 1999 - Phoenix, United States Duration: 7 Dec 1999 → 10 Dec 1999 Conference number: 38 |
Publication series
Name | Proceedings of the IEEE Conference on Decision and Control (CDC) |
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Publisher | IEEE |
Number | 38 |
Volume | 1999 |
ISSN (Print) | 0191-2216 |
Conference
Conference | 38th IEEE Conference on Decision and Control, CDC 1999 |
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Abbreviated title | CDC |
Country/Territory | United States |
City | Phoenix |
Period | 7/12/99 → 10/12/99 |
Keywords
- n/a OA procedure