Error Estimations of Arnoldi-Based Interconnect Model-Order Reductions

We propose the global Arnoldi algorithm for MIMO Error information in the reduced system will be a guideline RLCG interconnect model order reductions. This algorithm is for the order selection scheme. In the second reduced-order an extension of the standard Arnoldi algorithm for systems system we can keep the simple formulation described in the with multi-inputs and multi-outputs (MIMO). By employing the B congruence transformation with the matrix Krylov subspace, the BA algorithm In addition, the transfer matrix of the second one-sided projection method can be used to construct a reduced-reduced system is identical to those of the original system with order system. Two kinds of reduced systems using the global additive perturbation matrix.Arnoldi algorithm will be proposed. The first q-th order of these reduced systems' moments will still be preserved. The transfer II. PRELIMINARY matrix residual error of the reduced system will also be derived A linear, time-invariance, RLCG interconnect circuit can be analytically. Experimental results demonstrate the feasibility and represented in the following modified nodal analysis (MNA) the effectiveness of the proposed method. r formula:

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Error Estimations of Arnoldi-Based Interconnect Model-Order Reductions

Cited by 4 publications

References 12 publications

Structure preserving model-order reductions of MIMO second-order systems using Arnoldi methods

Structure preserving model-order reductions of MIMO second-order systems using Arnoldi methods

Model-Order Reduction Algorithm with Structure Preserving Techniques

MIMO Interconnects Order Reductions by Using the Global Arnoldi Algorithm

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