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Optimal stochastic scheduling of systems with Poisson noises

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Abstract

We consider the problem of optimal stochastic scheduling for nonlinear systems with Poisson noise disturbances and a performance index including both operating costs and costs for scheduling changes. In general, the value functions of the dynamic programming, quasi-variational inequalities which define the optimality conditions for such problems are not differentiable. However, we can treat them as “viscosity solutions” as introduced by Crandall and Lions. Existence and uniqueness questions are studied from this point of view.

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This author's research was conducted in the Applied Mathematics Program at the University of Maryland, College Park. It was supported in part by the Department of Energy under contract DE-AC01-79ET-29244.

This author's research was supported in part by the Army Research Office under contract DAAG29-83-C-0028 with SEI, Greenbelt, MD. Address correspondence concerning the paper to this author.

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Li, C.W., Blankenship, G.L. Optimal stochastic scheduling of systems with Poisson noises. Appl Math Optim 15, 187–221 (1987). https://doi.org/10.1007/BF01442652

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