最小假设条件下耦合扫频过程的最优控制

Samara Chamoun, Vera Zeidan
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引用次数: 0

摘要

首先,扫描集合 C(t) 是非光滑、无边界、随时间变化、均匀近似规则的,并且满足最小假设。第二,扫频过程与受控微分方程耦合。第三,存在联合状态端点约束集 S,包括周期条件。本文建立了我们的动态 Lipschitz 解的存在性和唯一性,得到了我们的最优控制一般形式的最优解的存在性,并在最小假设条件下推导出了(P)中强局部最小化的非光滑 Pontryagin 最大原理的完整形式。本文的新颖之处之一是提出了与截断扫频集和联合端点约束相对应的构造良好的问题,该问题与(P)具有相同的强局部最小值,只需使用对(P)的假设,就能开发出指数惩罚近似技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal control for coupled sweeping processes under minimal assumptions
In this paper, the study of nonsmooth optimal control problems (P) involving a controlled sweeping process with three main characteristics is launched. First, the sweeping sets C(t) are nonsmooth, unbounded, time-dependent, uniformly prox-regular, and satisfy minimal assumptions. Second, the sweeping process is coupled with a controlled differential equation. Third, joint-state endpoints constraint set S, including periodic conditions, is present. The existence and uniqueness of a Lipschitz solution for our dynamic is established, the existence of an optimal solution for our general form of optimal control is obtained, and the full form of the nonsmooth Pontryagin maximum principle for strong local minimizers in (P) is derived under minimal hypotheses. One of the novelties of this paper is the idea to work with a well-constructed problem corresponding to truncated sweeping sets and joint endpoint constraints that shares the same strong local minimizer as (P) and for which the exponential-penalty approximation technique can be developed using only the assumptions on (P).
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