.png){kind=icon}
返回
Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2019.2918186.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper investigates an iterative learning control for single-input, single-output, and linear time-invariant discrete system. The special design of the learning gain matrix is introduced, where a finite uniform quantizer is incorporated with an encoding and decoding mechanism to realize the zero-error convergence of a tracking problem. Furthermore, the boundary-level calculation is considerably improved using lifting technique and infinity-norm of vectors under this mechanism. Some illustrations of the simulations verify the theoretical results.
Keyword:
Iterative learning control
uniform quantizer
boundary-level calculation
lifting technique
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:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
.png){kind=icon}
Stability analysis of quantized iterative learning control systems using lifting representation
PREAI
分享收藏分享收藏
查看更多内容