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A Separation Theorem for Expected Value and Feared Value Discrete Time Control

Published online by Cambridge University Press:  15 August 2002

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Abstract

We show how the use of a parallel between the ordinary (+, X) and the (max, +) algebras, Maslov measures that exploit this parallel, and more specifically their specialization to probabilities andthe corresponding cost measures of Quadrat, offer a completely parallel treatment of stochastic and minimax control of disturbed nonlinear discrete time systems with partial information. This paper is based upon, and improves, the discrete time part of the earlier paper [9].

Type
Research Article
Copyright
© EDP Sciences, SMAI, 1996

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