.png){kind=icon}
返回
Inferential Iterative Learning Control: A 2D-system approach
.png){kind=icon}
OA
AI
DOI：10.1016/j.automatica.2016.04.029.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Certain control applications require that performance variables are explicitly distinguished from measured variables. The performance variables are not available for real-time feedback. Instead, they are often available after a task. This enables the application of batch-to-batch control strategies such as Iterative Learning Control (ILC) to the performance variables. The aim of this paper is first to show that the pre-existing ILC controllers may not be directly implementable in this setting, and second to develop a new approach that enables the use of different variables for feedback and batch-to-batch control. The analysis reveals that by using pre-existing ILC methods, the ILC and feedback controllers may not be stable in an inferential setting. Therefore, the complete closed-loop system is cast in a 2D framework to analyze stability. Several solution strategies are outlined. The analysis is illustrated through an application example in a printing system. Finally, the developed theory also leads to new results for traditional ILC algorithms in the common situation where the feedback controller contains a pure integrator. (C) 2016 Elsevier Ltd. All rights reserved.
Keyword:
Iterative Learning Control
Inferential control
2D system
Stability along the pass
Limit profile
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
引用论文
Using iterative learning control with basis functions to compensate medium deformation in a wide-format inkjet printer使用具有基函数的迭代学习控制来补偿宽幅喷墨打印机中的介质变形.png)
MECHATRONICSOAAI
MECHATRONICSIF3.1
OAAI分享收藏Survey on iterative learning control, repetitive control, and run-to-run control迭代学习控制、重复控制和运行间控制综述
PREAI
分享收藏分享收藏分享收藏
查看更多内容