| Abstract: | Recently, new identification methods have been developed by using the concept of optimal-recursive filtering and stochastic approximation. These methods, known as stochastic identification, are based on the statistical properties of the signal and noise, and do not require the assumptions of current methods. The criterion for stochastic system identification is that the difference between the recorded output and the output from the identified system (i.e., the residual of the identification) should be equal to white noise. In this paper, first a brief review of the theory is given. Then, an application of the method is presented by using ambient vibration data from a nine-story building. |
| Genre: | Conference Paper |
| ProdID: | 70014324 |
| Citation Author: | Safak, Erdal |
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| Citation End Page: | 272 |
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| Citation Language: | English |
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| Citation Number Of Pages: | 4 |
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| Citation Publisher: | Publ by ASCE |
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| Citation Search Results Text: | Stochastic system identification in structural dynamics; 1988; Conference Paper; Safak, Erdal |
| Citation Start Page: | 269 |
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| Citation Year: | 1988 |
| Type: | citation/reference |
| Text: | Stochastic system identification in structural dynamics; 1988; Conference Paper; Safak, Erdal |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Fri, 1 Jan 1988 00:00 -0600 |
| Publisher: | Publ by ASCE |
