Identification algorithm for time-varying structural systems using an adaptive Hoo filter

Kai Qi; Tadanobu Sato

doi:10.1117/12.316293

24 July 1998 Identification algorithm for time-varying structural systems using an adaptive H_oo filter

Kai Qi, Tadanobu Sato

Proceedings Volume 3323, Smart Structures and Materials 1998: Mathematics and Control in Smart Structures; (1998) https://doi.org/10.1117/12.316293
Event: 5th Annual International Symposium on Smart Structures and Materials, 1998, San Diego, CA, United States

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.

Citation Download Citation

Kai Qi and Tadanobu Sato "Identification algorithm for time-varying structural systems using an adaptive H_oo filter", Proc. SPIE 3323, Smart Structures and Materials 1998: Mathematics and Control in Smart Structures, (24 July 1998); https://doi.org/10.1117/12.316293

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