کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1141196 | 956767 | 2008 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Model-order reductions for MIMO systems using global Krylov subspace methods Model-order reductions for MIMO systems using global Krylov subspace methods](/preview/png/1141196.png)
This paper presents theoretical foundations of global Krylov subspace methods for model order reductions. This method is an extension of the standard Krylov subspace method for multiple-inputs multiple-outputs (MIMO) systems. By employing the congruence transformation with global Krylov subspaces, both one-sided Arnoldi and two-sided Lanczos oblique projection methods are explored for both single expansion point and multiple expansion points. In order to further reduce the computational complexity for multiple expansion points, adaptive-order multiple points moment matching algorithms, or the so-called rational Krylov space method, are also studied. Two algorithms, including the adaptive-order rational global Arnoldi (AORGA) algorithm and the adaptive-order global Lanczos (AOGL) algorithm, are developed in detail. Simulations of practical dynamical systems will be conducted to illustrate the feasibility and the efficiency of proposed methods.
Journal: Mathematics and Computers in Simulation - Volume 79, Issue 4, 15 December 2008, Pages 1153–1164