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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 and
the 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].
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