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Proceedings Paper

Identification algorithm for time-varying structural systems using an adaptive Hoo filter
Author(s): Kai Qi; Tadanobu Sato
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Paper Abstract

The adaptive H(infinity ) filter was established by adding a forgetting factor to the H(infinity ) filter in order to identify structural systems with time-varying dynamic characteristics. The Akaike-Bayes Information Criterion was used to determine the optimal forgetting factor. The behavior of the adaptive H(infinity ) filter in identifying time-varying structural systems was studied in detail by checking digital simulation results obtained using both the adaptive H(infinity ) and Kalman filters. These results show that the adaptive H(infinity ) filter efficiently tracks variation in the structural parameters and is more robust than the adaptive Kalman filter for identifying structural systems with time-varying dynamic characteristics.

Paper Details

Date Published: 24 July 1998
PDF: 12 pages
Proc. SPIE 3323, Smart Structures and Materials 1998: Mathematics and Control in Smart Structures, (24 July 1998); doi: 10.1117/12.316293
Show Author Affiliations
Kai Qi, Kyoto Univ. (Japan)
Tadanobu Sato, Kyoto Univ. (Japan)


Published in SPIE Proceedings Vol. 3323:
Smart Structures and Materials 1998: Mathematics and Control in Smart Structures
Vasundara V. Varadan, Editor(s)

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