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APPROXIMATE SOLUTION OF ILL CONDITIONED EQUATION FOR APPLICATION TO SYSTEM IDENTIFICATION

机译:应用于系统识别的ILL条件方程的近似解

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A numerical method is proposed for solving a set of simultaneous equations with an ill conditioned coefficient matrix to apply system identification. To find an approximate solution, the coefficient matrix is regularized by adding a small positive value ε to its diagonal elements. This paper regularizes a rectangular coefficient matrix and then a square coefficient matrix. Improvement of solution accuracy is possible by removing the very small singular values. Therefore, rank estimation of the coefficient matrix is a key to obtain an accurate solution. This paper gives a method that estimates the rank by setting an appropriate value of ε. A numerical example shows that the proposed method is effective for system identification.
机译:提出了一种用于求解具有不良条件系数矩阵的一组同时方程的数值方法,以应用系统识别。为了找到近似解,通过将小的正值ε添加到其对角线元件来规范系数矩阵。本文规则地陈述了矩形系数矩阵,然后是正方形系数矩阵。通过去除非常小的奇异值,可以提高解决方案精度。因此,系数矩阵的秩估计是获得准确解决方案的键。本文通过设置ε的适当值来提供一种估计等级的方法。数值示例表明该方法对于系统识别是有效的。

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