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A state space force identification method based on Markov parameters precise computation and regularization technique
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DOI：10.1016/j.jsv.2010.02.012.png)
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摘要
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A time domain force identification approach for linear system is proposed. This approach can found a highly precise force identification model within the scope of general computer precision while it does not cost much computing time. Although the force identification model is accurate, the force identification process, like other inverse methods, is still ill-posed due to the inversion process and the white noise in measured structural responses. The singular value decomposition is used to reveal the intrinsically matter of the ill-posedness of force identification problem and a regularization technique is utilized to deal with this issue. Finally, the proposed method with the aid of regularization technique is successfully applied to identify the input forces in two numerical simulations. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.
Keyword:
ILL-POSED PROBLEMS
INPUT ESTIMATION
LEAST-SQUARES
RECONSTRUCTION
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4.9
论文数:
1.7W
被引数:
4.8W
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