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本文主要介绍了SVD方法的理论和性质,讨论了基于SVD的线性系统参数估计方法及其在间接测量系统建模中的应用,采用模块化、结构化矩阵处理函数,提出了一种以对观测数据矩阵进行SVD分解为基础的间接测量系统建模方法。并设计给出了一个数值分析实例,对文中方法的正确性和有效性进行了验证。仿真分析的结果表明该方法能够有效地去掉系统中的冗余信息,提高模型构建的准确度,尤其适合于大型测量系统的精确建模。
This paper introduces the theory and properties of SVD method, discusses the SVD-based linear system parameter estimation method and its application in indirect measurement system modeling. By using modular and structured matrix processing functions, Data matrix for SVD-based indirect measurement system modeling method. An example of numerical analysis is given and the correctness and validity of the proposed method are verified. Simulation results show that this method can effectively remove the redundant information in the system and improve the accuracy of model construction, especially for the accurate modeling of large scale measurement system.