Robust Maximum Principle for minimax mayer problem with uncertainty from a compact measured set

被引：0

作者：

Boltyanski, VG ^{[1
]}

Poznyak, AS ^{[1
]}

机构：

[1] CIMAT, Guanajuato 36000, Mexico

来源：

PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2002年 / 1-6卷

关键词：

robustness; Maximum Principle; minimax problem;

D O I：

10.1109/ACC.2002.1024822

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new version of the Maximum Principle dealing with the construction of minimax control strategies for a class of uncertain systems described by ordinary differential equations with unknown parameters from a given measured space. The case when the set of unknown parameters is finite was investigated by the authors in [9]. The minimax control problem is considered where maximization being taken over a set of uncertainity and minimization over admissible controls. The proofs are based on the tent method (see Chapter I in monograph [8]). Specific features of the obtained results are discussed.

引用

页码：310 / 315

页数：6

共 28 条

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Boltyanski, VG
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[10] The robust minimum spanning tree problem: Compact and convex uncertainty
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