ROBUST ADAPTIVE-CONTROL - STABILITY AND ASYMPTOTIC PERFORMANCE

被引:16
作者
KRAUSE, JM
KHARGONEKAR, PP
STEIN, G
机构
[1] UNIV MICHIGAN,DEPT ELECT ENGN,ANN ARBOR,MI 48109
[2] MIT,DEPT ELECT ENGN,CAMBRIDGE,MA 02139
关键词
D O I
10.1109/9.119631
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 provides robust stability and asymptotic performance results for adaptive control in the presence of both compact real parametric uncertainty and frequency-weighted bounded unstructured uncertainty. It is shown that a class of parameter adaptive control systems is robustly stable. Furthermore, the asymptotic robust performance bound may be made arbitrarily close to that of the nonadaptive design which would result from perfect parameter information. The key assumptions are: 1) the unknown parameters lie in a known compact convex set, 2) a certain bound on the initial state of the system is known, 3) the control design rule is lipschitzian, and 4) the control design rule would produce a robust controller if given perfect parameter information. In addition, the location of the parametric and nonparametric uncertainty within the known system dynamics must satisfy certain structural assumptions.
引用
收藏
页码:316 / 331
页数:16
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