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A SINGULAR-VALUE DECOMPOSITION METHOD FOR UPDATING THE ANALYTICAL MODEL

机译:更新模型的单值分解方法

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摘要

Based on the theory of singular-value decomposition andthe matrix approximation technique, an analytical modelupdating method using the identified model parameters isdeveloped. Firstly, The identified modal matrix is decomposedby means of singular-value decomposition technique. Thegeneral updating equations for the analytical model are obtainedaccording to the decomposition results, the eigenequation ofthe system, and the modal orthogonality relations. Secondly, thebest matrix approximation solution for the updating equations isdefinited. The existence and uniqueness of the bestapproximation relative to the analytical model are studied. Theconcrete form of the best modification and two algorithms arepresented. Examples demonstrate that the analytical modelmodification method developed in this paper possesses highmodificatory accuracy comparing with some other methods.The method possesses the ability to modify the large errormodels.
机译:基于奇异值分解理论和矩阵逼近技术,开发了一种利用识别出的模型参数的解析模型更新方法。首先,利用奇异值分解技术对识别出的模态矩阵进行分解。根据分解结果,系统的特征方程和模态正交关系,获得了解析模型的通用更新方程。其次,确定了更新方程的最佳矩阵逼近解。研究了相对于分析模型的最佳逼近的存在性和唯一性。给出了最佳修改的具体形式和两种算法。实例证明,本文开发的分析模型修正方法与其他方法相比具有较高的修正精度。该方法具有修正大误差模型的能力。

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  • 来源
  • 会议地点 Sacramento, CA(US);Sacramento, CA(US)
  • 作者

    Zhang Xianmin;

  • 作者单位

    Department of Mechatronic EngineeringShantou University Shantou Guangdong 515063People's Republic of ChinaEmail: xmzhang@mailserv.stu.edu.cn;

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