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.
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页码：310 / 315
页数：6
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