单输入仿射控制系统优化控制问题中喋喋弧的近似值

IF 1.3 3区 数学 Q2 MATHEMATICS, APPLIED
Térence Bayen, Francis Mairet
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引用次数: 0

摘要

在本文中,我们考虑了由单输入仿射控制系统支配的一般梅耶最优控制问题,该系统的最优解涉及二阶奇异弧(导致颤振)。本文的目的是提出一种数值方案,通过结构更简单的控制(具有有限开关次数的砰砰控制和一阶奇异弧的串联)来接近颤振控制。为此,我们考虑了一连串向漂移收敛的矢量场,使得相关的最优控制问题只涉及一阶奇异弧(因此,最优控制必然具有有限数量的砰砰弧)。直到一个子序列,我们证明了极值序列对原始最优控制问题的极值的收敛性以及值函数的收敛性。接下来,我们考虑几个涉及颤振问题的例子。对于其中的每一个问题,我们都给出了一个近似最优控制问题的明确族,其解涉及砰弧和一阶奇异弧。这样,我们就能对这些原始最优控制问题的解(包含颤振)进行数值近似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approximation of Chattering Arcs in Optimal Control Problems Governed by Mono-Input Affine Control Systems

In this paper, we consider a general Mayer optimal control problem governed by a mono-input affine control system whose optimal solution involves a second-order singular arc (leading to chattering). The objective of the paper is to present a numerical scheme to approach the chattering control by controls with a simpler structure (concatenation of bang-bang controls with a finite number of switching times and first-order singular arcs). Doing so, we consider a sequence of vector fields converging to the drift such that the associated optimal control problems involve only first-order singular arcs (and thus, optimal controls necessarily have a finite number of bang arcs). Up to a subsequence, we prove convergence of the sequence of extremals to an extremal of the original optimal control problem as well as convergence of the value functions. Next, we consider several examples of problems involving chattering. For each of them, we give an explicit family of approximated optimal control problems whose solutions involve bang arcs and first-order singular arcs. This allows us to approximate numerically solutions (with chattering) to these original optimal control problems.

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来源期刊
Set-Valued and Variational Analysis
Set-Valued and Variational Analysis MATHEMATICS, APPLIED-
CiteScore
2.90
自引率
6.20%
发文量
32
审稿时长
>12 weeks
期刊介绍: The scope of the journal includes variational analysis and its applications to mathematics, economics, and engineering; set-valued analysis and generalized differential calculus; numerical and computational aspects of set-valued and variational analysis; variational and set-valued techniques in the presence of uncertainty; equilibrium problems; variational principles and calculus of variations; optimal control; viability theory; variational inequalities and variational convergence; fixed points of set-valued mappings; differential, integral, and operator inclusions; methods of variational and set-valued analysis in models of mechanics, systems control, economics, computer vision, finance, and applied sciences. High quality papers dealing with any other theoretical aspect of control and optimization are also considered for publication.
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