Record number :
Title of article :
Probabilistic enhancement of classical robustness margins: a class of nonsymmetric distributions
Author/Authors :
C.M.، Lagoa, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
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Abstract :
In this note, we address the problem of risk assessment when the robustness margin is exceeded, without a priori knowledge of the distribution of the uncertainty. The only assumption is that the distribution belongs to a given class. In contrast to previous work, this class contains both symmetric and nonsymmetric distributions. We prove that the assessment of risk can be done using only a subset of the admissible distributions. Also, if the set of uncertainties that verify the specifications is convex, it is proven that risk assessment can be done using only a finite subset of the class. Finally, a way of estimating risk is provided for the nonconvex case.
Keywords :
natural convection , Analytical and numerical techniques , heat transfer
Journal title :
IEEE Transactions on Automatic Control
Serial Year :
Link To Document :