Parametrization Based Synthesis of Static Feedback Stabilizing Controllers for Uncertain Discrete Linear Repetitive Processes

被引:1
|
作者
Pakshin, Pavel [1 ]
Galkowski, Krzysztof [2 ]
Sulikowski, Bartek [2 ]
Rogers, Eric [3 ]
机构
[1] RE Alekseev Nizhny Novgorod State Tech Univ, Arzamas Polytech Inst, 19 Kalinina St, Arzamas 607227, Russia
[2] Univ Zeilona Gora, Inst Control & Computat, PL-65246 Zielona Gora, Poland
[3] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
基金
俄罗斯基础研究基金会;
关键词
SYSTEMS;
D O I
10.1109/CCA.2009.5280699
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper considers uncertain discrete-time linear repetitive processes described by a polytopic state-space model. Several parametrizations of the set of members in the class of (static) control laws that robustly stabilize these processes are developed. These are LQR, truncated LQR and stochastic parametrizations respectively. A numerical example which demonstrates the application one of the parametrizations to robust control synthesis is also given.
引用
收藏
页码:962 / +
页数:3
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