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Optimal stationary control of discrete processes and a polynomial time algorithm for stochastic control problem on networks

机译:网络随机控制问题的离散过程最优平稳控制和多项式时间算法

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摘要

The stochastic version of classical discrete optimal control problems with a finite set of states and infinite time horizon is studied. An approach for determining the optimal stationary control in discrete processes with deterministic and random states’ transitions of the dynamical system is described. The main problem is formulated on networks and a polynomial time algorithm for its solving is proposed. An application of the proposed algorithm for a class of stochastic decision problems is described.
机译:研究了具有有限状态集和无限时间范围的经典离散最优控制问题的随机版本。描述了一种确定离散过程中最优静止控制的方法,该过程具有动力学系统的确定性和随机状态的转变。在网络上提出了主要问题,并提出了多项式时间算法进行求解。描述了该算法在一类随机决策问题中的应用。

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