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AUTOMATICA
2008
101views more  AUTOMATICA 2008»
13 years 5 months ago
Constrained linear system with disturbance: Convergence under disturbance feedback
This paper proposes a disturbance-based control parametrization under the Model Predictive Control framework for constrained linear discrete time systems with bounded additive dis...
Chen Wang, Chong Jin Ong, Melvyn Sim
ASPDAC
2008
ACM
174views Hardware» more  ASPDAC 2008»
13 years 7 months ago
Chebyshev Affine Arithmetic based parametric yield prediction under limited descriptions of uncertainty
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
Jin Sun, Yue Huang, Jun Li, Janet Meiling Wang
AAAI
2008
13 years 7 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
ENTCS
2007
101views more  ENTCS 2007»
13 years 5 months ago
Parametric Performance Contracts: Non-Markovian Loop Modelling and an Experimental Evaluation
Even with todays hardware improvements, performance problems are still common in many software systems. An approach to tackle this problem for component-based software architectur...
Heiko Koziolek, Viktoria Firus
CODES
2006
IEEE
13 years 11 months ago
Yield prediction for architecture exploration in nanometer technology nodes: : a model and case study for memory organizations
Process variability has a detrimental impact on the performance of memories and other system components, which can lead to parametric yield loss at the system level due to timing ...
Antonis Papanikolaou, T. Grabner, Miguel Miranda, ...