Sciweavers

42 search results - page 7 / 9
» Krylov subspace methods for model order reduction of bilinea...
Sort
View
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
RSS
2007
135views Robotics» more  RSS 2007»
13 years 8 months ago
Learning omnidirectional path following using dimensionality reduction
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
J. Zico Kolter, Andrew Y. Ng
LSSC
2007
Springer
14 years 1 months ago
Parallel Implementation of LQG Balanced Truncation for Large-Scale Systems
Model reduction of large-scale linear time-invariant systems is an ubiquitous task in control and simulation of complex dynamical processes. We discuss how LQG balanced truncation ...
José M. Badía, Peter Benner, Rafael ...
JCC
2011
133views more  JCC 2011»
13 years 2 months ago
MIBPB: A software package for electrostatic analysis
: The Poisson–Boltzmann equation (PBE) is an established model for the electrostatic analysis of biomolecules. The development of advanced computational techniques for the soluti...
Duan Chen, Zhan Chen, Changjun Chen, Weihua Geng, ...
CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
14 years 2 days ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen