Stochastic system identification in structural dynamics
By: Erdal Safak
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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.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Stochastic system identification in structural dynamics |
| ISBN | 0872626598 |
| Year Published | 1988 |
| Language | English |
| Publisher | Publ by ASCE |
| Publisher location | New York, NY, United States |
| First page | 269 |
| Last page | 272 |
| Conference Title | Probabilistic Methods in Civil Engineering, Proceedings of the 5th ASCE Specialty Conference |
| Conference Location | Blacksburg, VA, USA |
| Conference Date | 25 May 1988 through 27 May 1988 |
| Google Analytic Metrics | Metrics page |