A min-max approach to multi-objective guaranteed cost control of linear systems with uncertainties

被引:0
作者
Wang DeJin [1 ]
机构
[1] Tianjin Univ Sci & Technol, Sch Elect Informat & Automat, Tianjin 300222, Peoples R China
来源
Proceedings of the 24th Chinese Control Conference, Vols 1 and 2 | 2005年
关键词
uncertain system; guaranteed cost control; multi-objective control; min-max optimization; robust control; linear matrix inequality (LNH); TIME-DELAY SYSTEMS; LMI APPROACH;
D O I
暂无
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 discusses the min-max approach to multi-objective guaranteed cost control for continuous-time linear systems with norm-bounded uncertainties. The designed state-feedback control law guarantees, for all admissible uncertainties, the closed-loop stability, and at the same time, optimizes the multi-objective cost functions in the min-max sense. A vector-valued weighting factor is introduced to balance the confliction among the competing objectives. Using the linear matrix inequality (LMI) technique, the problem is converted into a linear convex optimization algorithm so that a global optimization solution is obtained. Finally, simulation result shows the effectiveness of the proposed method.
引用
收藏
页码:426 / 428
页数:3
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