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The expressions of matrix construction by using the singular value decomposition(SVD) are applied to the physics parameter identification of dynamic model. Then, basedupon to the characteristics of a kind of matrix construction method, the orders of theparameter identification model can be reduced. After reducing, the mathematics and physicscorrespondence relations between the subsystem and the original system are distinct. thecondensation errors can be avoided. The numerical example shows the benefit of thepresented methodology.