Minimax games for stochastic systems subject to relative entropy uncertainty: applications to SDEs on Hilbert spaces
In this paper, we consider minimax games for stochastic uncertain systems with the pay-off being a nonlinear functional of the uncertain measure where the uncertainty is measured in terms of relative entropy between the uncertain and the nominal measure. The maximizing player is the uncertain measur...
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Published in | Mathematics of control, signals, and systems Vol. 19; no. 1; pp. 65 - 91 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Springer Nature B.V
01.02.2007
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Subjects | |
Online Access | Get full text |
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