.png){kind=icon}
返回
Deterministic Convergence for Learning Control Systems Over Iteration-Dependent Tracking Intervals
.png){kind=icon}
PRE
AI
DOI：10.1109/TNNLS.2017.2734843.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This brief addresses the iterative learning control (ILC) problems for discrete-time systems subject to iteration-dependent tracking time intervals. A modified class of P-type ILC algorithms is proposed by properly defining an available modified output, for which robust convergence analysis is performed with an inductive approach. It is shown that if a persistent full-learning property is ensured, then a necessary and sufficient convergence condition of ILC can be derived to reach the perfect output tracking objective though the tracking time interval is iteration-dependent. That is, the tracking of ILC for iteration-dependent time intervals can be guaranteed in the same deterministic (not stochastic) convergence way as that of traditional ILC over a fixed time interval. Furthermore, the developed tracking results can be extended to admit iteration-dependent uncertainties in initial state and external disturbances. Simulation tests are also included to demonstrate the effectiveness of the modified P-type ILC.
Keyword:
Deterministic convergence
discrete-time systems
iteration-dependent uncertainty
iterative learning control (ILC)
persistent full learning
robust convergence
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:
8.9
论文数:
7.6K
被引数:
7.2W
机构
引用论文
An Iterative Learning Control Approach for Linear Systems With Randomly Varying Trial Lengths具有随机变化的试验长度的线性系统的迭代学习控制方法
PREAI
分享收藏On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏分享收藏A Robust Adaptive Iterative Learning Control for Trajectory Tracking of Permanent-Magnet Spherical Actuator永磁球形执行器轨迹跟踪的鲁棒自适应迭代学习控制
PREAI
分享收藏Convergence of iterative learning control for SISO nonrepetitive systems subject to iteration-dependent uncertaintiesAUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
查看更多内容