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AUTOMATICA
2002
80views more  AUTOMATICA 2002»
13 years 10 months ago
Robust control of nonlinear systems with parametric uncertainty
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
Qian Wang, Robert F. Stengel
MOC
2000
86views more  MOC 2000»
13 years 10 months ago
Numerical algorithms for semilinear parabolic equations with small parameter based on approximation of stochastic equations
The probabilistic approach is used for constructing special layer methods to solve the Cauchy problem for semilinear parabolic equations with small parameter. Despite their probabi...
G. N. Milstein, M. V. Tretyakov
COCO
1998
Springer
98views Algorithms» more  COCO 1998»
14 years 2 months ago
Probabilistic Martingales and BPTIME Classes
We define probabilistic martingales based on randomized approximation schemes, and show that the resulting notion of probabilistic measure has several desirable robustness propert...
Kenneth W. Regan, D. Sivakumar
FOSSACS
2010
Springer
14 years 5 months ago
Retaining the Probabilities in Probabilistic Testing Theory
Abstract. This paper considers the probabilistic may/must testing theory for processes having external, internal, and probabilistic choices. We observe that the underlying testing ...
Sonja Georgievska, Suzana Andova