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Removal of Inequality Constraints in Optimal Control

机译:消除最优控制中的不等式约束

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A successful technique for dealing with constrained minimum problems in finite dimensional spaces has been the removal of constraints through the notions of penalty functions and augmentability. The main idea of this paper is to show how that technique can be generalized to certain optimal control problems involving mixed equality and/or inequality constraints. We provide a brief overview of some of the main ideas related to that theory for constrained minimum problems and introduce a new notion of augmentability in optimal control which yields, without the usual assumption of normality, first and second order necessary conditions for optimality.
机译:解决有限维空间中受约束最小问题的成功技术是通过惩罚函数和可扩充性概念消除约束。本文的主要思想是展示如何将该技术推广到涉及混合等式和/或不等式约束的某些最优控制问题。我们简要概述了与该理论有关的约束最小问题的一些主要思想,并介绍了最优控制中的可扩充性的新概念,该概念在没有通常的正态性假设的情况下得出了最优性的一阶和二阶必要条件。

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