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A linearized procedure for solving inverse sensitivity equations of non-defective systems

机译:求解无缺陷系统逆灵敏度方程的线性过程

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A linearized algorithm for solving inverse sensitivity equations of non-defective systems is presented. It is based on the orthonormal decomposition of the first order directional derivatives and directional continuity along tau of the tau - lambda base. The least-squares methods which minimize the trace of eigenmode matrix a suggested by Pesek and Lallement, respectively, for self-adjoint systems are extended to general non-defective systems in this paper. Moreover, the new algorithm has intuitive simple geometrical significance and is consistent with the first order Taylor expansion of the tau - lambda base. The numerical results calculated from the aforementioned three methods are compared, respectively, with the exact solution using two simulation examples. It demonstrates that the results of the proposed algorithm are the nearest to the exact solution. (C) 2002 Elsevier Science Ltd. All rights reserved. [References: 16]
机译:提出了一种求解无缺陷系统逆灵敏度方程的线性化算法。它基于tau-lambda基的tau的一阶方向导数和方向连续性的正交分解。本文将Pesek和Lallement分别提出的最小二乘本征模式矩阵的最小二乘方法推广到一般的无缺陷系统。此外,新算法具有直观的简单几何意义,并且与tau-lambda基的一阶泰勒展开式一致。使用两个仿真示例分别比较了由上述三种方法计算出的数值结果和精确解。它证明了所提算法的结果最接近精确解。 (C)2002 Elsevier ScienceLtd。保留所有权利。 [参考:16]

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