Iterative learning control for spatially interconnected systems

被引：14
|
作者：
Kim, Byeong-Yeon [1 ]
Lee, Taekyung [1 ]
Kim, Young-Soo [2 ]
Ahn, Hyo-Sung [1 ]
机构：
[1] GIST, Sch Mechatron, Kwangju 500712, South Korea
[2] Korea Astron & Space Sci Inst KASI, Taejon 305348, South Korea
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2014年 / 237卷
关键词：
Iterative learning control; Spatially interconnected systems; Trajectory tracking; DISTRIBUTED CONTROL DESIGN;
D O I：
10.1016/j.amc.2014.03.123
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Iterative learning control (ILC) has been successfully employed for trajectory tracking of uncertain dynamic systems with less system information. This paper attempts to adopt the benefits of ILC to improve the trajectory tracking performance of spatially interconnected systems. By utilizing the ILC update law along the iteration domain repetitively, a perfect reference trajectory tracking can be ensured. It is the key benefit of using ILC that less system model information is used in the design of a trajectory tracking controller for spatially interconnected systems. Through a numerical simulation, the validity of the proposed control scheme is illustrated. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码：438 / 445
页数：8
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