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ICCAD
2005
IEEE
87views Hardware» more  ICCAD 2005»
14 years 2 months ago
Parameterized model order reduction of nonlinear dynamical systems
— In this paper we present a parameterized reduction technique for non-linear systems. Our approach combines an existing non-parameterized trajectory piecewise linear method for ...
Bradley N. Bond, Luca Daniel
CMSB
2008
Springer
13 years 7 months ago
Automatic Complexity Analysis and Model Reduction of Nonlinear Biochemical Systems
Kinetic models for biochemical systems often comprise a large amount of coupled differential equations with species concentrations varying on different time scales. In this paper w...
Dirk Lebiedz, Dominik Skanda, Marc Fein
DAC
2003
ACM
13 years 10 months ago
NORM: compact model order reduction of weakly nonlinear systems
This paper presents a compact Nonlinear model Order Reduction Method (NORM) that is applicable for time-invariant and time-varying weakly nonlinear systems. NORM is suitable for r...
Peng Li, Lawrence T. Pileggi
JCNS
2010
100views more  JCNS 2010»
13 years 3 months ago
Morphologically accurate reduced order modeling of spiking neurons
Accurately simulating neurons with realistic morphological structure and synaptic inputs requires the solution of large systems of nonlinear ordinary differential equations. We ap...
Anthony R. Kellems, Saifon Chaturantabut, Danny C....
CCE
2004
13 years 5 months ago
On the use of reduced order models in bifurcation analysis of distributed parameter systems
Bifurcation theory provides a powerful tool for analyzing the nonlinear dynamic behavior of process systems. However, although the theory in principle applies to lumped as well as...
Yi Liu, Elling W. Jacobsen