A LINEARIZED PROCEDURE FOR SOLVING INVERSE SENSITIVITY EQUATIONS OF NON-DEFECTIVE SYSTEMS
β Scribed by A.Y.T. LEUNG; L.F. CHEN; W.L. WANG
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 161 KB
- Volume
- 259
- Category
- Article
- ISSN
- 0022-460X
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β¦ Synopsis
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 s of the s Γ l base. The least-squares methods which minimize the trace of eigenmode matrix suggested by Pe$ s sek 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 s Γ l 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.
π SIMILAR VOLUMES
## Abstract An algorithm based on a small matrix approach to the solution of a system of inhomogeneous linear algebraic equations is developed and tested in this short communication. The solution is assumed to lie in an initial subspace and the dimension of the subspace is augmented iteratively by