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172
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CSDA
2008
94views more  CSDA 2008»
15 years 7 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
ENTCS
2006
103views more  ENTCS 2006»
15 years 6 months ago
Supporting SAT based BMC on Finite Path Models
The standard translation of a Bounded Model Checking (BMC) instance into a satisfiability problem, (a.k.a SAT), might produce misleading results in the case when the model under v...
Daniel Geist, Mark Ginzburg, Yoad Lustig, Ishai Ra...
197
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AUTOMATICA
2005
115views more  AUTOMATICA 2005»
15 years 6 months ago
Robust constrained predictive control using comparison model
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
Hiroaki Fukushima, Robert R. Bitmead
129
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JCP
2007
102views more  JCP 2007»
15 years 6 months ago
Deterministic Models of an Active Magnetic Bearing System
— In this paper the development of mathematical model of voltage-input and current-input active magnetic bearing (AMB) system in deterministic form is presented. The AMB system, ...
Abdul Rashid Husain, Mohamad Noh Ahmad, Abdul Hali...
199
Voted
MA
2010
Springer
132views Communications» more  MA 2010»
15 years 5 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki