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

页码：1799 / 1819

页数：21

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