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Decentralized and Passive Model Order Reduction of Linear Networks With Massive Ports

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5 Author(s)
Boyuan Yan ; Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA ; Tan, S.X.-D. ; Lingfei Zhou ; Jie Chen
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It is well known that model order reduction for circuits with many terminals remains a challenging problem. One reason is that existing approaches are based on a centralized framework, in which each input-output pair is implicitly assumed to be equally interacted and the matrix-valued transfer function is assumed to be fully populated. In this paper, we attempt to address this long-standing problem using a decentralized model order reduction scheme, in which a multi-input multi-output system is decoupled into a number of subsystems and each subsystem corresponds to one output and several dominant inputs. The decoupling process is based on the relative gain array, which measures the degree of interaction of each input-output pair. For each decoupled subsystem, passive reduction can be easily achieved using existing reduction techniques. The proposed method is suitable for resistance-dominant interconnects such as on-chip power grids, substrate planes where extremely compact models can be obtained. Simulation results demonstrate the advantage of the proposed method compared to the existing approaches.

Published in:

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on  (Volume:20 ,  Issue: 5 )

Date of Publication:

May 2012

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