Krylov subspace methods for solving large Lyapunov equations
SIAM Journal on Numerical Analysis
PRIMA: passive reduced-order interconnect macromodeling algorithm
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
DAC '98 Proceedings of the 35th annual Design Automation Conference
Efficient model reduction of interconnect via approximate system gramians
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
A convex programming approach to positive real rational approximation
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Model order reduction for strictly passive and causal distributed systems
Proceedings of the 39th annual Design Automation Conference
Realizable parasitic reduction using generalized Y-Δ transformation
Proceedings of the 40th annual Design Automation Conference
NORM: compact model order reduction of weakly nonlinear systems
Proceedings of the 40th annual Design Automation Conference
Modeling Interconnect Variability Using Efficient Parametric Model Order Reduction
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
ETBR: extended truncated balanced realization method for on-chip power grid network analysis
Proceedings of the conference on Design, automation and test in Europe
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
QLMOR: a new projection-based approach for nonlinear model order reduction
Proceedings of the 2009 International Conference on Computer-Aided Design
Numerical Simulation and Modelling of Electronic and Biochemical Systems
Foundations and Trends in Electronic Design Automation
Evenly distributed RC interconnect ELO model simplification and its simulation
International Journal of Modelling and Simulation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Proceedings of the International Conference on Computer-Aided Design
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The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the models, and preservation of system properties such as passivity. Algorithms such as PRIMA generate guaranteed-passive models, for systems with special internal structure, using numerically stable and efficient Krylov-subspace iterations. Truncated Balanced Realization (TBR) algorithms, as used to date in the design automation community, can achieve smaller models with better error control, but do not necessarily preserve passivity. In this paper we show how to construct TBR-like methods that guarantee passive reduced models and in addition are applicable to state-space systems with arbitrary internal structure.