Real-time prediction of near-future seismic excitation adapting AR model to preceding information
✍ Scribed by Yamada, Kazuhiko
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 226 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0098-8847
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✦ Synopsis
This paper examines a real-time prediction method, aimed at application in active structural control. The examined method applies preceding seismic excitation information at a certain moment to a time-variant AutoRegressive (AR) model and uses it to predict near-future excitation information. The performances of this method and appropriate identi"cation parameters are examined by numerical experiments. In fact, the results of these experiments show that a time-variant AR model with appropriate identi"cation parameters has little change in low-frequency components despite change in AR coe$cients. The performance of a "xed-coe$cient AR model is thus examined. The results show that even a "xed-coe$cient AR model can su$ciently predict 0)05-s-future excitation information.