Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12756
Title: Moving force identification: Optimal state estimation approach
Authors: Law, SS
Fang, YL
Issue Date: 2001
Publisher: Academic Press
Source: Journal of sound and vibration, 2001, v. 239, no. 2, p. 233-254 How to cite?
Journal: Journal of sound and vibration 
Abstract: Existing techniques to identify moving forces exhibit the common weakness of having large fluctuations in the identified results. A new method of moving force identification is developed in this paper making use of the dynamic programming technique to overcome this weakness. The forces in the state-space formulation of the dynamic system are identified in the time domain using a recursive formula based on several distributed sensor measurements, and responses of the structure are reconstructed using the identified forces for comparison. Like all inverse problems, the computation is ill-conditioned. However, the dynamic programming technique inherently provides bounds to the ill-conditioned forces, and results from the simulation studies and laboratory work show great improvements over existing methods in the accuracy of identification.
URI: http://hdl.handle.net/10397/12756
ISSN: 0022-460X
EISSN: 1095-8568
DOI: 10.1006/jsvi.2000.3118
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