Optimization of Control of Doubly Stochastic Nonordinary Flows in Time-Sharing Systems
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Control of conflicting flows in a class of time-sharing algorithms with regard for orientation and readjustment is studied. Probabilistic properties of flows are determined by the Markov environment. Conditions for the existence of a stationary operation mode of the system are determined and interpreted graphically. Optimization by the minimum of mean sojourn cost in a control cycle is studied. Imitation modeling is used to estimate the characteristics that cannot be found analytically.
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