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Sensitivity analysis and the adjoint update strategy for an optimal control problem with mixed control-state constraints

机译:具有混合控制状态约束的最优控制问题的灵敏度分析和伴随更新策略

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摘要

In this article, an optimal control problem subject to a semilinear elliptic equation and mixed control-state constraints is investigated. The problem data depends on certain parameters. Under an assumption of separation of the active sets and a second-order sufficient optimality condition, Bouligand-differentiability (B-differentiability) of the solutions with respect to the parameter is established. Furthermore, an adjoint update strategy is proposed which yields a better approximation of the optimal controls and multipliers than the classical Taylor expansion, with remainder terms vanishing in L ∞.
机译:在本文中,研究了一个受半线性椭圆方程和混合控制状态约束的最优控制问题。问题数据取决于某些参数。在分离有效集和具有二阶充分最优性条件的假设下,建立了关于参数的解的布利根可微性(B可微性)。此外,提出了一种伴随更新策略,与经典泰勒展开式相比,该方法能更好地逼近最优控制和乘数,其余项在L ∞中消失。

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