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SIAMSC
2010
157views more  SIAMSC 2010»
13 years 5 months ago
Certified Reduced Basis Methods and Output Bounds for the Harmonic Maxwell's Equations
We propose certified reduced basis methods for the efficient and reliable evaluation of a general output that is implicitly connected to a given parameterized input through the ha...
Yanlai Chen, Jan S. Hesthaven, Yvon Maday, Jer&oac...
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
ESWA
2007
135views more  ESWA 2007»
13 years 7 months ago
Decoupled control using neural network-based sliding-mode controller for nonlinear systems
In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...
Lon-Chen Hung, Hung-Yuan Chung
DAC
2003
ACM
14 years 8 months ago
Data communication estimation and reduction for reconfigurable systems
Widespread adoption of reconfigurable devices requires system level synthesis techniques to take an application written in a high level language and map it to the reconfigurable d...
Adam Kaplan, Philip Brisk, Ryan Kastner
ICCAD
2003
IEEE
161views Hardware» more  ICCAD 2003»
14 years 4 months ago
A General S-Domain Hierarchical Network Reduction Algorithm
This paper presents an efficient method to reduce complexities of a linear network in s-domain. The new method works on circuit matrices directly and reduces the circuit complexi...
Sheldon X.-D. Tan