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QEST
2006
IEEE
15 years 5 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
CCE
2005
14 years 11 months ago
Monitoring process transitions by Kalman filtering and time-series segmentation
The analysis of historical process data of technological systems plays important role in process monitoring, modelling and control. Time-series segmentation algorithms are often u...
Balazs Feil, János Abonyi, Sandor Z. N&eacu...
ICIP
2007
IEEE
15 years 6 months ago
Outer-Layer Based Tracking using Entropy as a Similarity Measure
Tracking can be achieved using region active contours based on homogeneity models (intensity, motion...). However the model complexity necessary to achieve a given accuracy might ...
Vincent Garcia, Sylvain Boltz, Eric Debreuve, Mich...
SIAMAM
2010
97views more  SIAMAM 2010»
14 years 10 months ago
A 2-Phase Traffic Model Based on a Speed Bound
We extend the classical LWR traffic model allowing different maximal speeds to different vehicles. Then, we add a uniform bound on the traffic speed. The result, presented in thi...
Rinaldo M. Colombo, Francesca Marcellini, Michel R...
CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
15 years 4 months ago
An error bound for model reduction of Lur'e-type systems
— In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper,...
Bart Besselink, Nathan van de Wouw, Henk Nijmeijer