Structured Robust Control Against Mixed Uncertainty

被引：28

作者：

de Aguiar, Raquel Stella da Silva ^{[1
,2
]}

Apkarian, Pierre ^{[1
]}

Noll, Dominikus ^{[3
]}

机构：

[1] Off Natl Etud & Rech Aerosp, Dept Informat Proc & Syst, FR-31055 Toulouse, France

[2] Univ Toulouse, Inst Math Toulouse, F-31062 Toulouse, France

[3] Univ Toulouse, Inst Matemat Toulouse, F-31062 Toulouse, France

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2018年 / 26卷 / 05期

关键词：

mu-synthesis; dynamic uncertainty; mixed uncertainty; nonsmooth optimization NP-hard problem; parametric uncertainty; structured controller; ALGORITHM;

D O I：

10.1109/TCST.2017.2723864

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present new approaches to designing structured controllers, which are robust in the presence of mixed real parametric and complex dynamic uncertainty. As the synthesis of such controllers is inherently NP-hard, we discuss inner and outer relaxation techniques, which make this problem amenable to computations. Our relaxation methods are positively evaluated and compared on the basis of a rich test set and for a challenging missile pilot design problem.

引用

页码：1771 / 1781

页数：11

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