Abstract
We examine the average minimax control problem on a general state space with an unbounded cost function. The controller is uncertain about his model in the sense that he deals with a range of alternative models as possibly true. The aim of this paper is to establish the optimality inequality and to provide a minimax strategy for the controller. A new feature in our approach is an application of a generalised Tauberian relation that, in turn, allows us to impose relatively weak assumptions.
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