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首页> 外文期刊>SIAM Journal on Control and Optimization >DISCRETE APPROXIMATIONS AND REFINED EULER-LAGRANGE CONDITIONS FOR NONCONVEX DIFFERENTIAL INCLUSIONS
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DISCRETE APPROXIMATIONS AND REFINED EULER-LAGRANGE CONDITIONS FOR NONCONVEX DIFFERENTIAL INCLUSIONS

机译:非凸微分包含的离散逼近和精细的Euler-Lagrange条件

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This paper deals with the Bolza problem (P) for differential inclusions subject to general endpoint constraints. We pursue a twofold goal. First, we develop a finite difference method for studying (P) and construct a discrete approximation to (P) that ensures a strong convergence of optimal solutions. Second, we use this direct method to obtain necessary optimality conditions in a refined Euler-Lagrange form without standard convexity assumptions. In general, we prove necessary conditions for the so-called intermediate relaxed local minimum that takes an intermediate place between the classical concepts of strong and weak minima. In the case of a Mayer cost functional or boundary solutions to differential inclusions, this Euler-Lagrange form herds without any relaxation. The results obtained are expressed in terms of nonconvex-valued generalized differentiation constructions for nonsmooth mappings and sets. [References: 52]
机译:本文针对受一般终点约束的差分夹杂物的Bolza问题(P)。我们追求双重目标。首先,我们开发了一种用于研究(P)的有限差分方法,并构造了对(P)的离散逼近,以确保最优解的强大收敛性。其次,我们使用这种直接方法以精化的Euler-Lagrange形式获得必要的最优性条件,而无需标准凸度假设。一般而言,我们证明了所谓的中间松弛局部最小值的必要条件,该局部松弛局部最小值在强和弱极小值的经典概念之间处于中间位置。在Mayer成本函数或微分包含物的边界解决方案的情况下,这种Euler-Lagrange形式的畜群没有任何松弛。对于非光滑映射和集合,以非凸值广义微分构造表示所获得的结果。 [参考:52]

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