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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Bibliographic Details
Published inMathematics of control, signals, and systems Vol. 19; no. 1; pp. 65 - 91
Main Authors Ahmed, N. U., Charalambous, C. D.
Format Journal Article
LanguageEnglish
Published London Springer Nature B.V 01.02.2007
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