Enhancing Iterative Learning Control With Fractional Power Update Law
文献类型：期刊论文
| 作者 | Zihan Li; Dong Shen; Xinghuo Yu |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2023 |
| 卷号 | 10期号:5页码:1137-1149 |
| 关键词 | Asymptotic convergence convergence rate finite-iteration tracking fractional power learning rule limit cycles |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2023.123525 |
| 英文摘要 | The P-type update law has been the mainstream technique used in iterative learning control (ILC) systems, which resembles linear feedback control with asymptotical convergence. In recent years, finite-time control strategies such as terminal sliding mode control have been shown to be effective in ramping up convergence speed by introducing fractional power with feedback. In this paper, we show that such mechanism can equally ramp up the learning speed in ILC systems. We first propose a fractional power update rule for ILC of single-input-single-output linear systems. A nonlinear error dynamics is constructed along the iteration axis to illustrate the evolutionary converging process. Using the nonlinear mapping approach, fast convergence towards the limit cycles of tracking errors inherently existing in ILC systems is proven. The limit cycles are shown to be tunable to determine the steady states. Numerical simulations are provided to verify the theoretical results. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51551]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Zihan Li,Dong Shen,Xinghuo Yu. Enhancing Iterative Learning Control With Fractional Power Update Law[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(5):1137-1149. |
| APA | Zihan Li,Dong Shen,&Xinghuo Yu.(2023).Enhancing Iterative Learning Control With Fractional Power Update Law.IEEE/CAA Journal of Automatica Sinica,10(5),1137-1149. |
| MLA | Zihan Li,et al."Enhancing Iterative Learning Control With Fractional Power Update Law".IEEE/CAA Journal of Automatica Sinica 10.5(2023):1137-1149. |
入库方式： OAI收割
来源：自动化研究所
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