Improved H2/H∞ control based on multi-objective genetic algorithm

被引：0
|
作者：
Ma Qingliang [1 ]
Hu Changhua [1 ]
机构：
[1] Xian Res Inst Hi Tech, Teaching & Res Unit 302, Xian 710025, Peoples R China
来源：
PROCEEDINGS OF THE 24TH CHINESE CONTROL CONFERENCE, VOLS 1 AND 2 | 2005年
关键词：
optimal control; H-2; /; H-infinity; control; multi-objective genetic algorithm;
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：
A novel approach to H-2/H-infinity optimal control is presented based on multi-objective genetic algorithm (MOGA). To design H-2/H-infinity controller with less conservativeness, a kind of MOGA for H-2/H-infinity control (HHMOGA) is especially developed. HHMOGA takes the solutions of linear matrix inequality (LMI) method as initial population. Non-dominated sorting, niche, and elitist strategy are employed in order to ensure a better design. Simulation results show that HHMOGA can achieve better performances as compared with LMI method.
引用
收藏
页码：407 / 409
页数：3
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