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

Abstract : We show how the use of a parallel between the ordinary $(+, \times)$ and the $(\max, +)$ algebras, Maslov measures that exploit this parallel, and more specifically their specialization to probabilities and the corresponding {\em 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 \cite{ber95}.
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https://hal.inria.fr/inria-00073927
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 2:06:22 PM
Last modification on : Saturday, January 27, 2018 - 1:31:30 AM
Long-term archiving on: : Thursday, March 24, 2011 - 1:23:38 PM

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  • HAL Id : inria-00073927, version 1

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Pierre Bernhard. A Separation Theorem for Expected Value and Feared Value Discrete Time Control. RR-2764, INRIA. 1995. ⟨inria-00073927⟩

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