Robust synthesis in l1:: A globally optimal solution

被引：25

作者：

Khammash, M ^{[1
]}

Salapaka, MV

Voorhis, TV

机构：

[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA

[2] Iowa State Univ, Dept Ind & Mfg Syst Engn, Ames, IA 50011 USA

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2001年 / 46卷 / 11期

基金：

美国国家科学基金会;

关键词：

l(1); optimal; robustness; uncertainty;

D O I：

10.1109/9.964684

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a method to synthesize controllers that achieve globally optimal robust performance within any prespecified tolerance, against structured norm-bounded time-varying and/or nonlinear uncertainty is developed. The performance measure considered is the infinity to infinity induced norm of a system's transfer function. The method developed utilizes linear relaxation techniques to solve the infinite dimensional nonconvex problem via finite dimensional linear programming problems.

引用

页码：1744 / 1754

页数：11

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