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Convex duality and generalized solutions in the optimal control problem for stopped processes-the deterministic model

机译:停止过程的最优控制问题中的凸对偶性和广义解-确定性模型

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The approach consists of imbedding the original control problem tightly in a convex mathematical programming problem on the space of measures and then solving the latter problem by duality in convex analysis. The dual problem is to find the supremum of all smooth subsolutions to Bellman's equation. Because of the effect of stops at the boundary of the domain, a different formulation of strong and weak problems is adopted to make use of the duality method. Results on the decomposition of weak measures provide a clear interpretation for such an effect in the weak formulation of the control problem. The convex duality approach of W.H. Fleming and D. Vermes (1989) is used to study a deterministic optimal control problem for stopped processes.
机译:该方法包括在度量空间上将原始控制问题紧紧地嵌入到凸数学规划问题中,然后在凸分析中通过对偶性解决后者。双重问题是找到Bellman方程的所有光滑子解的最大值。由于在域边界处的停顿效应,对偶性方法采用了强弱问题的不同表示形式。弱措施分解的结果为控制问题的弱公式中的这种影响提供了清晰的解释。 W.H.的凸对偶方法Fleming and D. Vermes(1989)用于研究停止过程的确定性最优控制问题。

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