A composite material structure impact load identification method and device based on iteration weighting sparsity
A composite material and structural impact technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effects of improving recognition accuracy, suppressing amplification, and sparse results
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[0085] As a preferred implementable solution, the sparse regularization model is:
[0086]
[0087] Among them, H represents the transfer function matrix; f represents the impact load to be identified; Indicates the residual term; means l p Norm regularization term or penalty function term; the value range of norm p is p∈[0,1]; λ is the regularization parameter; n is the data length of the impact load vector f; f i Indicates the i-th element in the load vector f to be identified; ||·|| 2 l representing the vector 2 norm.
[0088] As a preferred implementable solution, the sparse regularization model can be converted into a weighted l 2 Norm model:
[0089]
[0090] Among them, min represents the minimization; H represents the transfer function matrix; f represents the impact load to be identified; y represents the shock response signal; W (k) Represents the weight matrix when the number of iterations is k.
[0091] In one embodiment, such as figure 2 As shown...
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