.png){kind=icon}
返回
Dynamic Output-Only Iterative Learning Control Design
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2021.3123868.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Iterative learning control applies to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the control action for the subsequent execution. This paper uses the repetitive process stability analysis and optimization techniques to design a dynamic controller that, in contrast to previous designs in the repetitive process/2D systems setting, does not require measurement of the state dynamics or observer-based estimation. Examples to demonstrate the application of the new design are given.
Keyword:
Process control
Convergence
Stability analysis
Dynamics
Task analysis
Symmetric matrices
State-space methods
Iterative learning control
repetitive processes
output control
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
.png){kind=icon}
分享收藏Experiments in feedback linearized iterative learning-based path following for center-articulated industrial vehicles用于中心铰接工业车辆的基于反馈线性化迭代学习的路径跟踪实验
OAAI
OAAI分享收藏
查看更多内容