A Convex Optimization Approach to the Rational Covariance Extension Problem
SIAM Journal on Control and Optimization
PRIMA: passive reduced-order interconnect macromodeling algorithm
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Guaranteed passive balancing transformations for model order reduction
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Efficient linear circuit analysis by Pade approximation via the Lanczos process
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Decentralized and passive model order reduction of linear networks with massive ports
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Passive reduction of interconnects requires the system to be described in the so-called passive form, which limits the application of existing approaches. Passive reduction of a dynamic system in general structure form still remains a difficult problem, and existing solutions are expensive. This brief presents a novel rational interpolation-based reduction framework for reducing the dynamic systems described in any internal structure. The new method is based on the Carathéodory extension, which ensures that the interpolating function is passive without any restriction on the circuit structure. As an explicit moment-matching method, it has a similar computational cost as the Krylov-subspace-based reduction methods and is very efficient to reduce the large systems whose input-output behavior can be approximated by a small number of moments.