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Worst-case control-relevant identification

被引：119
作者：
Makila, PM
Partington, JR
Gustafsson, TK
机构：
[1] UNIV LEEDS, SCH MATH, LEEDS LS2 9JT, W YORKSHIRE, ENGLAND
[2] ABO AKAD UNIV, DEPT CHEM ENGN, SF-20500 TURKU, FINLAND
来源：
AUTOMATICA | 1995年 / 31卷 / 12期
关键词：
identification error analysis; estimation; robustness; uncertainty models; worst-case analysis; model validation; uncertain systems;
D O I：
10.1016/0005-1098(95)00106-3
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 introduces the reader to several recent developments in worst-case identification motivated by various issues of modelling of systems from data for the purpose of robust control design. Many aspects of identification in H-infinity and l(1) are covered including algorithms, convergence and divergence results, worst-case estimation of uncertainty models, model validation and control relevancy issues.
引用
收藏
页码：1799 / 1819
页数：21
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