A Factorization-Based Framework for Passivity-Preserving
Model Reduction of RLC systems
A Factorization-Based Framework for Passivity-Preserving
Model Reduction of RLC systems
Q. Su, V. Balakrishnan and C-K. Koh
In Proc. Design Automation Conference, pages 40-45,
New Orleans, LA, June 2002
Abstract:
We present a framework for passivity-preserving model reduction for RLC
systems that includes, as a special case, the well-known PRIMA model
reduction algorithm. This framework provides a new interpretation for
PRIMA, and offers a qualitative explanation as to why PRIMA performs
remarkably well in practice. In addition, the framework enables the
derivation of new error bounds for PRIMA-like methods. We also show
how the framework offers a systematic approach to computing
reduced-order models that better approximate the original system than
PRIMA, still preserving passivity.
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