Control of linear systems subject to input constraints: a polynomial approach

被引:42
|
作者
Henrion, D
Tarbouriech, S
Kucera, V
机构
[1] CNRS, Lab Anal & Architecture Syst, F-31077 Toulouse 4, France
[2] Czech Tech Univ, Dept Control Engn, Fac Elect Engn, Prague 16627 6, Czech Republic
[3] Acad Sci Czech Republ, Inst Informat Theory & Automat, Prague 18208 8, Czech Republic
关键词
linear systems; input constraints; polynomial methods; Youla-Kucera parametrization; convex programming;
D O I
10.1016/S0005-1098(00)00193-X
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A polynomial approach is pursued For locally stabilizing discrete-time linear systems subject to input constraints. Using the Youla-Kucera parametrization and geometric properties of polyhedra and ellipsoids, the problem of simultaneously deriving a stabilizing controller and the corresponding stability region is cast into standard convex optimization problems solved by linear, second-order cone and semidefinite programming. Key topics are touched on such as stabilization of multi-input multi-output plants or maximization of the size of the stability domain. Readily implementable algorithms are described. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:597 / 604
页数:8
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