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SCL
2008
108views more  SCL 2008»
13 years 7 months ago
On input-to-state stability of min-max nonlinear model predictive control
In this paper we consider discrete-time nonlinear systems that are affected, possibly simultaneously, by parametric uncertainties and disturbance inputs. The min-max Model Predict...
Mircea Lazar, David Muñoz de la Peña...
SIAMAM
2000
74views more  SIAMAM 2000»
13 years 7 months ago
Modeling Injection Molding Processes with Deformable Porous Preforms
This paper deduces a new model aimed at simulating injection molding processes under isothermal conditions. These processes can be generally stated as infiltration problems in init...
D. Ambrosi, Luigi Preziosi
NIPS
2001
13 years 9 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
JMLR
2010
157views more  JMLR 2010»
13 years 2 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
ICRA
2007
IEEE
151views Robotics» more  ICRA 2007»
14 years 1 months ago
Moving Shadow Detection with Low- and Mid-Level Reasoning
— In this paper, we propose a multi-level shadow identification scheme which is generally applicable without restrictions on the number of light sources, illumination conditions...
Ajay J. Joshi, Stefan Atev, Osama Masoud, Nikolaos...