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Stochastic system identification in structural dynamics

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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.

Additional Publication Details

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
Number of Pages:
4
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