用非线性最小二乘法提高测辨精度

To Improve the Accuracy of Identification by Using Nonlinear Least Squares

  • 摘要: 本文讨论了广义最小二乘法所测辨的模型与实际系统间的差异;采用了非线性最小二乘Leven-berg-Marquardt阻尼因子法,提高了对实际系统的测辨精度.

     

    Abstract: This paper discusses the inadequecy for identifying a certain practical system by using the generalized least squares.By using Levenberg-Marquardt damping factor nonlinear least squares the accuracy of system identification is improved as demons-trated by calculated examples.

     

/

返回文章
返回