Topics in matrix analysis
Balancing for nonlinear systems
Systems & Control Letters
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
PRIMA: passive reduced-order interconnect macromodeling algorithm
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Reduced-order modelling of linear time-varying systems
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
An efficient Lyapunov equation-based approach for generating reduced-order models of interconnect
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Computer aided macromodeling for mems
Computer aided macromodeling for mems
Efficient linear circuit analysis by Pade approximation via the Lanczos process
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Remembrance of circuits past: macromodeling by data mining in large analog design spaces
Proceedings of the 39th annual Design Automation Conference
CAD solutions and outstanding challenges for mixed-signal and RFIC design
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems
Applied Numerical Mathematics
NORM: compact model order reduction of weakly nonlinear systems
Proceedings of the 40th annual Design Automation Conference
Analog and RF circuit macromodels for system-level analysis
Proceedings of the 40th annual Design Automation Conference
Piecewise polynomial nonlinear model reduction
Proceedings of the 40th annual Design Automation Conference
Direct Nonlinear Order Reduction with Variational Analysis
Proceedings of the conference on Design, automation and test in Europe - Volume 2
A Hybrid Approach to Nonlinear Macromodel Generation for Time-Varying Analog Circuits
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Analog circuit behavioral modeling via wavelet collocation method with auto-companding
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
Automated nonlinear Macromodelling of output buffers for high-speed digital applications
Proceedings of the 42nd annual Design Automation Conference
Scalable trajectory methods for on-demand analog macromodel extraction
Proceedings of the 42nd annual Design Automation Conference
Parameterized model order reduction of nonlinear dynamical systems
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
Design and verification of high-speed VLSI physical design
Journal of Computer Science and Technology
Bounding L2 gain system error generated by approximations of the nonlinear vector field
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Variable domain transformation for linear PAC analysis of mixed-signal systems
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Order reduction of bilinear MIMO dynamical systems using new block Krylov subspaces
Computers & Mathematics with Applications
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
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the Conference on Design, Automation and Test in Europe
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Nonlinear Model Reduction via Discrete Empirical Interpolation
SIAM Journal on Scientific Computing
Proceedings of the 48th Design Automation Conference
Structure-preserving model reduction of passive and quasi-active neurons
Journal of Computational Neuroscience
Mathematics and Computers in Simulation
Hi-index | 0.00 |
In this paper we present a generalization of popular linear model reduction methods, such as Lanczos- and Arnoldi-based algorithms based on rational approximation, to systems whose response to interesting external inputs can be described by a few terms in a functional series expansion such as a Volterra series. The approach allows automatic generation of macromodels that include frequency-dependent nonlinear effects.